Download MBA-Marketing (Master of Business Administration) 4th Semester Customer Relationship Management Notes
CUSTOMER RELATIONSHIP MANMAGEMENT
UNIT - 1
1. INTRODUCTION
2. CUSTOMER LOYALTY
3. SUCCESS FACTORS
4. THREE LEVELS OF SERVICE
5. SERVICE ? LEVEL AGREEMENTS
1
CUSTOMER RELATIONSHIP MANMAGEMENT
LEARNING ASPECTS
Evaluation of CRM
Schools of thought in CRM
Benefits of CRM
Customer loyalty
Success factors
Service levels
Service level agreements
1. INTRODUCTION
EVALUATION OF CUSTOMER RELATIONSHIP MANAGEMENT
Customer Relationship Management (CRM) is to create a competitive advantage by
being the best at understanding, communicating, delivering, and developing existing
customer relationships, in addition to creating and keeping new customers. It has
emerged as one of the largest management buzzword. Popularised by the business
press and marketed by the aggressive CRM vendors as a panacea for all the ills
facing the firms and managers, it means different things to different people. CRM,
for some, means one to one marketing while for others a call centre. Some call
database marketing as CRM. There are many others who refer to technology
solutions as CRM. If so, what is CRM?
2
Merchants and traders have been practicing customer relationship for centuries.
Their business was built on trust. They could customize the products and all aspects
of delivery and payment to suit the requirements of their customers. They paid
personal attention to their customers, knew details regarding their customers tastes
and preferences, and had a personal rapport with most of them. In many cases, the
interaction transcended the commercial transaction and involved social interactions.
Even today, this kind of a relationship exists between customers and retailers,
craftsmen, artisans ? essentially in markets that are traditional, small and classified
as pre-industries markets.
These relationship oriented practices have changed due to industrial revolution..
Businesses adopted mass production, mass communication and mass distribution to
achieve economics of scale. Manufactures started focusing on manufacturing and
efficient operations to cut costs. Intermediaries like distributors, wholesalers and
retailers took on the responsibilities of warehousing, transportation, distribution and
sale to final customers. This resulted in greater efficiencies and lower costs to
manufacturers but brought in many layers between them and the customers. The
resulting gap reduced direct contacts and had a negative impact on their
relationships.
The post-industrial era saw the re-emergence of relationship practices. Marketing
academicians.
(a) Rapid advances in technology,
(b) Intensive competition in most markets,
3
High
Relationship
Orientation
Low
Pre-Industrial Era
Industrial Era
Information era
(Relationship
(Product Centric)
(Relationship
Centric-Small Scale)
Centric-Large Scale)
Figure 1.1 The Evolution of Relationship Orientation
(c) Growing importance of the service sector, and
(d) Adoption of total quality management programs
Technological Advancement
More information, communication and production technologies have helped marketers
come closer to their customers. Firms operating in diverse sectors ranging from
packaged goods to services started using these technologies to know their customers,
learn more about them, and then build stronger bonds with them through frequent
interactions. Marketers could gain knowledge about customers, which helped them
respond to their needs through manufacturing, delivery, and customer service.
Technology also enabled ordering and product-use related services.
4
Though the emergence of CRM in recent times coincided with the information age,
one must remember that technology is just an enabler. Technology enabled
marketers overcome several long felt shortcomings of mass marketing. Some of
these included:
- Inefficiencies of mass marketing: 1980s and early 1990s witnessed some of
the most radical business transformations that resulted in cost reductions in
almost all functional departments except marketing. Manufacturing and
related operations costs were reduced through business process
reengineering, human resource costs were reduced through outsourcing,
restructuring and layoffs, financial costs were reduced through financial
reengineering but marketing costs kept increasing due to increased
competition and product parity in virtually every industry.
- Lack of fast, effective and interactive models of customer contact, feedback
and information.
- Lack of consolidated information about customer interactions, purchase
behavior and future potential.
Intensive Competition
In competitive markets, specially the ones that were maturing and witnessing slow
or no growth, marketers found it more profitable to focus on their existing
customers. Studies have shown that it costs up to 10-12 times more to attract a new
customer than to retain an existing customer. Marketers have now started focusing 5
on the lifetime value of customers. They are moving away from just trying to sell
their products to understanding, customers needs and wants and then satisfying their
needs. This has led to a relationship orientation which creates opportunities to cross
sell products and services over the lifetime of the customer.
Growing Importance of the Service Sector
The service sector contributes to over two-third of the GDP of most advanced
economies. In India, the services sector contributes to over 50 per cent of the
economy. One of the characteristics of the service industries is the direct interaction
between the marketer and the buyer. In services, the provider is usually involved in
the production as well as delivery directly. For example, professional service
providers like a doctor or consultant are directly involved in production as well as
delivery of their services. Similarly, the customers are directly involved in
production in the purchase and consumption of these services. These direct contacts
create opportunities for better understanding, a better appreciation of needs as well
as constraints and emotional bonding all of which facilitate relationship building.
Therefore it should come as no surprise when you see the service firms pioneering
many of the customer relationship initiatives. Firms operating in the financial
services, hospitality business, telecom, and airlines are the early adopters and
extensive users of CRM practices.
Adoption of total Quality Management (TQM) Programmes
Total quality management programmes help companies offer quality products and
services to customers at the lowest prices. To enable this value proposition, 6
organizations needed to work closely with their customers, intermediaries as well as
suppliers thus fostering close working relationships with members of the marketing
system. Companies such as Intel, Xerox, and Toyota formed partnering
relationships with suppliers and customers to practice TQM.
Other developments such as an increase in the number of demanding customers,
increased fragmentation of markets, and generally high level of product quality
forced business to seek sustainable competitive advantages. A competitive
advantage is sustainable only when it is not easily replicated. One such sustainable
competitive advantage is the relationship that a firm develops with its customers.
SCHOOLS OF THOUGHT ON CRM
The relationship marketing is supported by the growing research interest in different
facets of this concept. Researchers in different countries observed this shift in
marketer`s orientation towards customer relationship and started exploring the
phenomenon. The initial approaches to CRM can be broadly classified as:
1. The Anglo-Australia Approach,
2. The Nordic Approach, and
3. The North American Approach.
The Anglo-Australian approach integrated the contemporary theories of quality
management services marketing and customer relationship economics to explain the
emergence of relationship marketing
7
The Nordic approach views relationship marketing as the confluence of interactive
network theory, services marketing and customer relationship economics. The
interactive network theory of industrial marketing views marketing as an interactive
process in a context where relationship building is an area of primary concern for
marketers.
Quality
Management
Services
Customer
Marketing
Relationship
Concepts
Economics
Relationship
Marketing
Figure 1.2 Anglo-Australian Approach of Relationship Marketing
8
Interactive
Network
Customer
Service
Relationship
Marketing
Economics
Relationship
Marketing
Figure 1.3 Nordic Approach to Relationship Marketing
In contrast, the initial focus of the North American scholars was on the relationship
between the buyer and seller operating within the context of the organizational
environment which facilitated the buyer seller relationship.
Buyer
Organisational
Environment
Relationship
Manager
Figure 1.4 North American Approach to Relationship Marketing
9
One of the broader approaches to CRM emerged from the research conducted by
academics at the Centre for Relationship Marketing and Service Management at the
Cranfield University, U.K. The broadened view of relationship marketing addresses
a total of six key market domains, not just the traditional customer market. It also
advocated for a transition for marketing from a limited functional role to a cross-
functional role and a shift towards marketing activities for customer retention in
addition to the conventional customer retention in addition to the conventional
customer acquisition.
The six markets are as follows
1. Customer markets ? existing and prospective customers as well as
intermediaries.
2. Referral markets ? existing customers who recommend to other prospects,
and referral sources or multipliers` such as doctors who refer patients to a
hospital or a consultant who recommends a specific IT solution,
3. Influence markets ? government, consumer groups, business press and
financial analysts.
4. Recruitment markets ? for attracting the right employees to the organization,
5. Supplier markets ? suppliers of raw materials, components, services, etc.,
and
6. Internal markets - the organization including internal departments and staff.
10
Internal
Markets
Supplier
Referral
Markets
Markets
Customer
Markets
Recruitment
Influence
Markets
Markets
Figure 1.5 The Six Markets Framework
DEFINING CRM
The preceding discussions highlight the range of perspectives adopted by
researchers in understanding and explaining relationships. Similarly in marketing
literature, the terms customer relationship management and relationship marketing
have been used interchangeable to reflect a variety of themes and perspectives.
Some of these themes offer a narrow functional marketing perspectives while others
offer a perspective that is broad and somewhat paradigmatic in approach and
orientation. A narrow perspective of customer relationship management is database
marketing emphasizing the promotional aspects of marketing linked to database
efforts, Another view point is to consider CRM only as customer retention in which
a variety of after marketing tactics are used for customer bonding or staying in 11
touch after the sale is done. A more popular approach with recent application of
information technology is to focus on individual or one to one relationship with
customer that integrates database knowledge with a long-term customer retention
and growth strategy.
Jackson applied the individual account concept in industrial market to suggest
markets CRM to mean, marketing oriented toward strong, lasting relationship with
individual accounts
McKenna offered a more strategic view by putting the customer first and shifting
the role of marketing from manipulating the customer (telling & selling) to genuine
customer involvement (communicating & sharing the knowledge).
Berry, in a broader term stressed that attracting new customers should be viewed
only as intermediate step in the marketing process. Developing closer relationships
with this customers and turning them into loyal is an equally important aspect of
marketing. Thus, he defined relationship marketing as attracting, maintaining, and,
enhancing customer relationships.
By focusing on the value of interaction in marketing and its consequent impact on a
customer relationships, a broader perspective espouses that customer relationship
should be the dominant paradigm of marketing. As Gronroos stated: Marketing is to
establish, maintain and enhance relationship with customers and other partners, at a
profit, so that the objectives of the parties involved are met. This is achieved by a
mutual exchange and fulfillment of promises. The implication of Gronroos
definition is that customer relationships is should be devoted to building and
enhancing
such relationship. Similarly, Morgan and Hunt suggested that 12
relationship marketing refers to all marketing activities directed towards
establishing, developing and maintaining successful relationships.
Figure 1.1 Shift in focus.
Traditional Marketing Focus
Provider
Parity
Product
Price
Customer
Consideration
and
Potential
Promotion
Place
Purchase
Customer Experience Focus
Customer
Differential
Marketing
Sales
Customer
Interactions
Interactions
Satisfaction
Loyalty,
Service
Support
and
Interactions
Interactions
Value
13
BENEFITS OF CRM
Customers are Profitable over a period of time
Studies by the US-based Bain and Company have shown that a customer becomes
more profitable with time because the initial acquisition cost exceeds gross margin
while the retention costs are much lower. When an organization retains the
customer, it gets a larger share of the customers wallet at a higher profit-one percent
increase in sale to existing customer increase profits by 17 per cent while the same
amount of sale to new customer increased profit by only 3 per cent. This huge
different is explained by the fact that for most companies the cost of acquiring the
customer is very high. It costs six to eight times more to sell to a new customer than
to sell to an existing one. The same study also highlighted that a company can boost
its profit up 85 per cent by increasing its annual customer retention by only 5 per
cent.
Similarly, studies have shown that the probability of selling a product to a prospect
is 15 per cent while it is 50 per cent to a existing customer. Thus, the time, the effort
and the costs of selling are much lower for an existing customer.
Customer probability is Skewed
An analysis of the revenue and profit contribution of customer base of banks in the
US, Europe and Australia showed the following:
14
- The top 20 per cent of the customers contribute to 150 per cent of the profits
while the bottom 20 per cent drain 50 per cent of the profits and the rest 60
per cent just break even.
Experiences of Indian organizations are on similar lines. In a large public sector
Banks, the top 23 per cent of the customers contribute to 77 per cent of the
revenues. Similarly, the top 27 per cent customers of a leading cellular phone
service provider contributes to 75 per cent of the revenues.
The implication of such a skew in customer profitability and revenue contribution
are startling for organizations, which use to conventionally treat all customers are
equal`. Competitors have to just lure these top customers and the organization
would face serious problems. It also highlights the fact that one has to adopt
different strategies for different customer groups:
-
Programmes have to be developed to retain and build stronger bonds with
the top gold standard` customers so that they do not get poached`
- Activity-Based Costing analysis has to be done with the middle group of
potentials` so that the cost of serving this customers are reduced. In
addition, cross-selling and up selling should be done to increase the
profitability of these customers.
- An analysis of the bottom growth has to be done to identify those customers
who can be shifted to the potential` group. For the remaining, the cost of
service has to reduce by encouraging them to use lower cost channels. In
15
extreme cases, some of these customers will be encouraged to defect to
competitors. Outsourcing of loss making customers to specialized low
overhead agencies is an emerging trend.
Marketing Benefits of CRM
CRM will gradually reduce organization`s dependence on periodic surveys to
gather data. Collection of data related to buying and consumption behavior will be
an ongoing process. In many cases, the transaction data is automatically collected
some times real time as in the e-commerce transaction. This rich repository of
customer information and knowledge updated through regular interactions and
actual customer transactions and purchase behavior will help marketers to develop
and market customer centric products successfully.
Customized promotions-based customer preferences and purchase patterns will
substantially reduce the wasteful expenditure of mass communication and even
direct mailing. As a customized promotion are more focused and are based on a
deeper insight of existing customers, they have a greater chance of conversion to
sales.
Service Benefits of CRM
Research findings conducted across industries as a part of a Technical Assistance
Research Project (TARP) indicate that:
- 95 per cent of the customers do not bother to complain, the just take their
business else where.
16
- Most loyal customers take time to complain. This enables the product /
service provider to improve and ensure that such mistake do not recur.
- A typical dissatisfied customer will tell an average of 14 others about a bad
experience while she will tell only six about a satisfying experience with an
organization.
- 70 per cent of customers who complain will do business with a company
again if it quickly takes care of a service problem.
ENABLES FOR THE GROWTH OF CRM
The tremendous growth of interest and investment in CRM across the globe can be
attributed to the following macro ? environmental factors:
(a) Emergence to service economy,
(b) Emergence of market economy
(c) Global orientation of businesses, and
(d) Aging population of the economically advanced economies.
Emergence of Service Economy
The emergence of service economy is a global phenomenon. In the US, the service
sector accounts for over 75 per cent of GNP and employees 80 per cent of the work
force. The service sector contribute to 60 ? 70 per cent of the GDP of economically
advanced nations of Western Europe, Canada and Japan. The increasing 17
contribution of service sector is not limited to develop countries. Developing
economies like China, Indonesia and Thailand employ about 40 per cent of the
work force in the service sector. In the year 2001, the service sector contributed to
48 per cent of GDP in India, 54 per cent in Philippines and 33 per cent in China.
The average annual growth rate of the services during the decade of 1990s was 8
per cent in India, 9 per cent in China and 4.1 per cent in Philippines (Statistical
Outline of India, 2002 ? 2003).
Advanced countries progressed from agriculture to industrial and then to post ?
industrial economies. The shift from manufacturing to services was spread over a
few decades of the last century. However, in developing countries, the growth is
lead by all three sectors of the economy in varying proportions.
The growing importance of services resulted in greater customer orientation as
services are characterized by simultaneity / inseparability. It implies that the
production and consumption of services are inseparable. In services, one needs to
be closed to customers to deliver the service offering. The factory is where the
customer is and services offered in real time. The customer perceives the production
process as part of service consumption, not just the outcome of production process
as in traditional marketing of physical goods. Therefore, it is not surprising that
service businesses like hotels, airlines, banking, financial services, telecom and
retailing where the early adopters of CRM.
18
Emergence of Market Economy
In addition to the shift towards service, there is a global emergence of the market
economy. The power is more to the market as compare to the controlled economy.
Market regulation was in place all over the world including the US, Europe, USSR,
China and India. The 1990s witnessed acceleration in the deregulation of many
large industries including banking, telecommunications, broadcasting and airlines
across the world. As a result, market ? orientation firms operating intensely
competitive market now takes decision that was once controlled by the government.
The focus have shifted from capacity creation under control to the markets. Market
? oriented economy necessitated a customer focus and boosted the importance of
CRM.
Global Orientation of Businesses
National boundaries are giving way to either a borderless world or atleast a regional
world resulting in the emergence of trading blocks like North American Free Trade
Agreement (NAFTA), European Union and the Association of South ? East Asian
Nations (ASEAN). The abolishment of the General Agreement on Tariffs and Trade
(GATT). And the emergence of World Trade Organization (WTO) helped create a
global orientation for business establishment. Increasing international trade became
the growth engine for the global economy. Liberalisation of markets and trade
proved to be a far stronger growth engine. It has eased the entry into foreign
markets. Firms need stronger customer ? orientation to be able to tab opportunities
in new markets while defending themselves in their home markets.
19
Aging Population in Economically Developed Countries
The economically advanced nations are witnessing an aging of their population. In
2000, 12.6 per cent of the US population was 65 years of age or older. The
comparative figures for Sweden and Japan were 17.2 per cent and 17 per cent of
their respective population (Sheth and Mittal, 2004). This trend is visible in most
part of Europe, except in Ireland (Leeflang and Raij, 1995). Aging of population
has been attributed to the combined effects of a slow down in birth rate and an
increased in life expectancy. While an aging population creates new opportunities
for wellness, financial wellbeing, safety and security and recreation (Sheth and
Mittal, 2004), it has also slowed the markets for traditional goods and services
designed for a younger population. Therefore, in these markets, growth is being
achieved by increasing the share of wallet` and not through growth of markets`
driven by a growing population. Marketers are now forced to develop a deep
understanding of their existing customers and meet their ever changing needs
through suitable products and services. Indeed, most large companies, especially the
services sector, wants to become One-Stop-Shop for the customers.
After identifying and discussing the factors responsible for the growth of CRM
across the globe, we now evaluate the reasons as to why managing customer
relationship has become critical for business.
20
2. BRAND LOYALTY
Loyalty is at the heart of equity and is one of important brand assets. Brand loyalty
is a conscious or unconscious decision expressed through intention or behavior to
repurchase a brand continually. When the consumer buys with respect to product
features, price and convenience, with little concern to the brand there is likely little
equity. But, if the consumers prefer the brand even at the face of competitors with
superior features and offers, then brand is said to have high brand equity. Loylaty
reflects the consumers attitude towards the brand, especially when there is a change,
either in price or product features. As the brand loyalty increases, the vulnerability
of the customer base to competitive action gets reduced.
THE STRATEGIC VALUE OF BRAND LOYALTY
Reduced Marketing Costs
Trade Leverage
Brand Loyalty
Attracting New Customers
Time to Respond to
Competitive Threats
As per Aaker`s point of view the above factors produce a strategic value to the
organization by brand loyalty of customers.
21
Reduced Marketing Cost
Loyal customers minimize the cost of running business because the amount spent
on getting new customers is far more than retaining present customers. The higher
the loyalty, the easier it is to keep customers happy. Loyal customer becomes an
advocate for the brand, without any incentive. Loyalty base of customers, act as a
strong entry barrier for potential entrants by which an organization can minimize
the risk.
Trade Leverage
A brand having strong loyalty base force retailers to maintain adequate stock and
allot enough shelf space to accommodate the brand. At the extreme, customer`s
shop choice depends on where their preferred brand is available. So, at the retail
brands enjoy special recognition and treatment.
Attracting New Customers
Existing loyal customers help marketers to get more business through prospective
customers. They create awareness of the brand among friends and colleagues, who
develop positive attitude towards the brand by actually seeing the brand in action.
Brand image is projected by these customers especially when the product requires
after sales service or, prospective customers require assurance of product
performance.
22
Time to Respond to the Competitive Threats
Loyalty base also supports marketers against competitor`s innovation by providing
sufficient time for them to retaliate.
STRATEGIES TO BUILD AND MAINTAIN LOYALTY
Retaining the customers, keeping them happy, enhancing their satisfaction level is the
continuous endeavor of any organization as it cannot afford to miss any of the loyal
customers. Ever changing Indian consumer, cut throat competition and emerging new
technologies are the thrown challenges to develop loyalty programmes. Some of the
strategies that suit the Indian context are discussed below.
Customer Relationship Management (CRM)
In simple words, CRM is the process of acquiring, retaining and growing profitable
customers. It is not a mere technique, but a management culture to build and sustain
an effective customer relationship. Organizations must significantly revamp their
traditional learning and knowledge management programs. The customer
relationship management model, with its customer-centric focus, places the
customers needs first. IT involves three fundamental steps:
1. Understanding customer completely
2. Aligning organizational capability in order to better deliver what its
customers may perceive as high value.
23
Facilitating the information available both inside and outside the organization.
The result of successful implementation of CRM creates great value of marketers
and customers which leads to mutual trust and loyalty. Following are the
advantages of it over traditional loyalty building methods:
? Reduce advertising cost
? Makes it easier to target specific customers by focusing on their needs
? Allows organizations to complete for customers based on service, but not on
price
? Prevents over spending on low-value clients or under spending on high-
values ones.
In India the CRM model is widely used in manufacturing and service organizations
as a brand loyalty tool.
Brand Relationship Management (BRM)
BRM is newly developed holistic approach to retain customers and create brand
loyalty. It stands for all activities linked with relational exchanges` and
transactional exchanges`. It helps to establish, maintain, and develop the
relationship between a brand and its consumers. Its integrated effort continuously
strengthens the relationship through interactive, individualized, and value added
contacts. This leads to a mutual exchange and fulfillment of promises in future. The
BRM process is explained diagrammatically below.
24
BRM Process
Trial
Repeat
Share of
Affinity
Brand
Brand
Purchase
requirement
relationship
lo
yalty
t
BRM focuses on generating trials and repeat purchases, builds high share of
requirement (i.e. product`s market share for a specific consumer). This result in
customer`s affinity towards the brand and builds brand relationship. The bond
between brand and customer becomes strong and thereby leads to mutual trust
which eventually results in brand loyalty.
Key steps to manage BRM
? Identifying the key driving force of brand preference
? Estimating expected brand utility of consumers
? Analysing the customer response for each market stimuli
? Grouping target customers into actionable segments based on profitability,
usage and characteristics
? Defining offers and corresponding value proposition that meets the
identified need
Impact of Brand Relationship Program on a Brand Perception
Brand relationship program has a great impact on a brand`s perception in various
ways:
25
? Improves customer perception of the brand
? Gives an opportunity to better know the brand
? Provides a chance to learn new things about the product category
? Aids to select among brands in that category
? Helps to discover new ways of consuming the product category All
these perceptional changes leads the customer towards brand loyalty.
Integrating BRM with CRM
The effectiveness of BRM depends on proper integration of BRM with CRM
strategies. This leads to effective collection and utilization of customer information
resulting in maximum brand utility to consumers.
Brand Loyalty Programs
Loyalty programs are designed to optimize every customer contact by offering an
incentive to his buying behavior. Though it varies from category to category,
today`s programs are mainly focused on this area. The main objective of these
programs is aimed at the highest end customer`s retention. Some loyalty programs
are intended to achieve new customers and maximize the use of the brand.
Following are some of the popular loyalty programs designed for Indian consumers
by different companies.
26
A. Indian Club (From Tata Indica)
Loyalty program includes 30,000-odd Indica customers from a client base of
more than 1.35lakhs. These club members are provided with several benefits
such as preferential treatment and discount at retail showrooms of Titan,
Tanishq, hotels attached to the Taj Group and some restaurants.
B. First Citizen Club (From Shopper's Stop)
Shopper`s stop is one of the first major chains that has been working on ways to
manage its customer information for competitive advantage. It started First
Citizen Club` for regular visiting customers. Its major functions include
customer information capture, intelligent warehousing and mining of transaction
behavior. It emerged successfully by generating sales and continuously adding
more people to it.
C. Book Reward Programs (From Crossword)
Mumbai based chain of book stores runs this programs to increase the frequency
of regular customers. Crossword has developed a benefit system quite
differently based on the points that members earn, which can be redeemed
against purchases. Members get benefit every month. The benefit could be a
free gift, a discount or an every month. The benefit could be a free gift, a
discount or an event. The idea is that the customers have to come to the store to
pick up the gift.
27
D. Taj Inner Circle Card (From Taj Hotels)
Taj hotels provide both tangible and intangible benefits to their regular
customers in the form of discounts and image building.
E. Jet Privilege Program (From Jet Airways)
This program is to recognize the most loyal customers and also to focus on
customers who are not so frequent, but who at some point will be made most
loyal. This program awards points to the customers for special discounts and
packages.
F. Mobile Industry (From BPL & Orange)
Unique features of this industry is built-in barriers to switching brands as
changing the brand gives the inconvenience of changing the number. In this
industry, loyalty programs are designed more towards increasing a customers
usage and their tenure by offering more discounts in shops and restaurants.
G. Other Programs:
a) Rebate Program: Awards gift certificates on reaching a spending
threshold. The reward can motivate incremental purchases or increase in
store traffic.
28
b) Partnership Program: Rewards are given to partner company`s
customers with an expectation that they may likely become customer in
future.
c) Affinity Program: It offers additional information, value added benefits
to suit specific customer life styles. This helps customer to know more
about the latest products and to build long lasting relationships.
MEASUREMENT OF BRAND LOYALTY
The criteria and factors considered for loyalty measurements is different at each
level of loyalty as the degree of loyalty and nature of relationship changes. In the
bottom levels loyalty is not recognizable. Loyalty measurement at this level is in
terms of sales turnover, product`s profit margins, price attractiveness and price
sensitivity. These are the major factors for purchase and repurchase behavior of
customers at these levels.
At the middle level, loyalty is measured through satisfaction level. Total spending
on brand, liking ? which is scaled in variety of ways like respect, friendship, trust
etc, and the reasons attributed. Another important measurement for customers
commitment is their involvement in spreading good word of mouth and number of
people to whom they refer the brand. Measurement tools include structured
questionnaire (both closed-end, open ?end), likert scale, semantic differential scale,
attitude rating scales, projective techniques and indepth interviews.
29
THE LADDER OF LOYALTY
The ladder of loyalty shows the different stages through which a prospect becomes
a customer, a client and finally a partner.
Prospect: The prospect is an individual in a retail market or an organization in the
business market, which fulfils the requirement of the marketer`s definition of target.
For example, a cellular service provider may segment the market and target
executives in blue chip companies with a special offer.
Partner
Advocate
Supporter
Client
Customer
Prospect
30
Customer: The prospect becomes a customer when s/he gets attracted by the
offering of the marketer and buys the product / service.
Client: A customer becomes a client when s/he purchases the product or service
more than once. While a customer may make the initial purchase as a trial or test,
the client is one who does a repeat purchase. It is likely that the trial was a
satisfactory experience for the client.
In several buying situation, customers becomes client due to the nature of the
product or service. For example, the purchase of a durable product like a PC, TV or
Car result in the customer becoming a client of the associated services like
servicing. Some services like banking, insurance, club, fixed line telephone services
etc., are membership` services which makes it difficult, if not impossible, for
customers to switch. Prospects may spend a lot of time and efforts in searching for
information, making comparisons and then making the selection. After all the
efforts, once we open an account, take an insurance policy / a club membership / a
telecom service is brought, the customer continues patronizing the service provider.
It does not mean that this customer is a long term loyal client. Many a time it is the
sheer inertia that makes customer continue in a relationship. Therefore in this
categories, the customer and the organization are likely to have an association of a
longer duration.
However, in many buying situation like retailing, hospitality, airlines or fast moving
consumer goods, customer can switch after trial, i.e. testing it and then decide to use
a competitor`s offering. The nature of the product or service does not ensure repeat
31
purchase. It is a customer`s satisfaction with the first purchase and consumption that
determine repurchase.
Customers can also become client when organization cross ? sell multiple products
to an existing customer. A good example of such a firm is Wells Fargo, a leading
financial services firm in the US. On an average this firm sells more than four of its
services to each customer (more than twice the industry average). This has ensured
that customers do not switch as frequently from this firm, increasing its profitability
as whole.
Supporter: A client becomes a supporter when he satisfies with the offering and
recommends it to his friend, relatives and acquaintances. This positive Word ? Of ?
Mouth (WOM) has tremendous positive impact as it helps the company get new
customer. WOM is a most influential source of information in converting prospects
into customer.
Advocate: An advocate is a supporter who, in addition to referrals that gives
increases sales, proactively works with the company to improve its product and
services. While developing new products software companies regularly depend on
the feedback from the lead users of their clients during the Beta test phase. So is a
case in new product development situation in several industrial firms, who set up
the prototype in their client`s premises for usage and feedback, which helps in
improvement. In these situation, the level of interaction between the customer and
the company is at a much higher plane. There is sharing of vital information and the
comfort level as well as the confidence between the parties is high.
32
Partner: An advocate becomes a partner when they become actively involve in the
decisions of the company. Any relationship that attempts to develop customer value
through partnering activities is likely to create greater bonding between customers
and marketers. In many cases, there are joint investments resulting in a structural
bonding. Examples include the kind of relationship that exist between Procter and
Gamble and Wal Mart, the worlds largest retailers. This relationship is
characterized by genuine partnership. Wal Mart shares the scanner data from its
check out counters in its over 4,500 stores through satellite. This information gives
the movement of P & G`s products, the status of stocks in its outlets and helps the
joint teams comprising of P&G and Wal Mart executives to plan replenishments. It
helps P&G plan its production, better management of its production runs and keep
its inventories low as it no longer depends on sales forecasts but actual sales data.
Overall, it reduces the selling costs to P&G. Wal Mart gains as it does not have to
keep inventories, gets faster replenishments, incurs low cost and is able to pass on
the saving to the customers, thus, reinforcing its image of Everyday Low Prices`
among its customers.
33
3. CRM SUCCESS FACTORS
While clear intention fuels the power of CRM, there are several other success factors to
consider. We will focus on five of the most important here. Organizations that
implements CRM with a strong return on investment share these characteristics.
1. Strong internal partnership around the CRM strategy. We said earlier
that CRM is a way of doing business that touches all areas of your
organization. This means that you and your management peers need to firm
strong internal partnerships around CRM. If you and your organization are
early on the road to CRM implementation, now is the time to bring your
CRM needs to the table, and to be open to listening to the CRM needs of the
other areas. You may find that you have requirements that are, atleast
potentially, in conflict. Resist the temptation to go to the war for what you
need.
If your organization has gone off the partnership road with CRM, then now
is the time to come back together and rebuild partnership with the area that
is currently championing CRM. Let them know that you appreciate what
they have done. Let them know what data you have to offer and help them
understand how you plan to use the data you request from them.
2. Employees at all levels and all areas accurately collect information for
the CRM system. Employees are most likely to comply appropriately with
your CRM system when they understand what information is to be capture
34
and why it is important, they are also more likely to trust and use CRM data
when they know how and why it was collected.
3. CRM tools are customer ? and employee ? friendly. CRM tools should be
integrated into your systems as seamlessly as possible, making them a
natural part of the customer service interaction. A major manufacturer of
speciality pet foods redesigned the pop ? up screens for its toll ? free
consumer phone line. In the original design, the final pop-up screen
prompted the representative to ask the caller`s name and address. Yet,
representatives had found that it was easier and felt more natural to ask,
What`s your name? and Where are you calling from? and What`s
your pet`s name? at the start of the call.
4. Report out only the data you use, and use a data you report. Just
because your CRM tool can run a report doesn`t mean it should. Refer back
to your CRM strategy, and then run the data you will actually use. And
share that data with your team.
5. Don't go high ? tech when low ? tech will do. At Harley ? Davidson
outside of Milwaukee, WI during the summer they often leave open the big
metal doors to the manufacturing facility to let in any breeze and the cooler
evening air. Unfortunately, open doors occasionally let in other things,
including skunks. A team met to consider the problem and possible
solutions. After discussing the pros and cons of screens, half-doors, or
keeping the doors shut, they came upon ideal solution. When a skunk
35
wanders in, just leave it alone and wait till it wanders back out. Skunks may
be Harley fans, but they never stay long.
Organizations that successfully implement their CRM look for the simplest
solution when implementing their CRM strategy.
QUESTIONS FOR DICCUSSION
1. The strength of the CRM depends on clarity of what you want to accomplish
2. The CRM tools have to be simple that allow you to gather the information you
need in the easiest way for both you and your customer
36
4. THE CUSTOMER SERVICE / SALES PROFILE
Now you understand that the power of CRM lies in its ability to help you create,
maintain, and expand customer relationship. You`re excited and ready to begin
delving into the process of creating your own CRM strategy, whether at the
organization level or as it applies to your specific area or department. Before you do
that, we`d like you to take a more in ? depth look at who your current customers are
and what their relationships with you look like. Our model, the Customer Service /
Sales Profile, will help you to do three things.
First, it will show you what kind of customer relationships you`re trying to create. Is
your success based in initial, stand-alone transactions? Or does the nature of your
product or service put customers in partnership with you over longer periods of
time? How important is it for you to have satisfied customers acting as a word ? of
? mouth advocates for you in the market place
Second, the Customer Service / Sales Profile will help you identify strengths in
your current CRM practices. Even in cases where there`s no formal CRM strategy,
if you`re still in business, you must be doing some thing right, may be several or
many things. Knowing what right practices have evolved naturally will help you
create the greatest possible improvement with the least amount of expense.
Third, because this process creates a visual image of your customer relationship,
you will find it helpful in communicating to others throughout the organization.
Knowing your current profile and the desired profile will naturally help you focus
your energy and attention.
37
Why call it the Customer Service / Sales Profile?
We call this model the Customer Service / Sales Profile because every business
activity is ultimately justified by half its serves the customer. Even if you and your
team never see cash ? paying external customer, the contribution you make must
have some positive impact on those external customer relationship or else you
should strongly question its value and purpose. We use the phrase Service /
Sales to remind us of three important rules.
Truth # 1: Sales do not equal relationships. Way back in 1983, Theodore Levitt
wrote an article for the Harvard Business Review titled After the Sale Is Over. In
it he explained that the sale is just the beginning of the relationship with your
customer ? a relationship more akin to a marriage then to a one ? night stand. And
consultants, practitioners, researchers, and authors have been building on this theme
ever since.
Yes, the sale is a very important point in customer relationship. However, it is
bracketed by the quality of service you are willing to offer, able to deliver, and
credited with providing to your customers.
Truth # 2: Service extends beyond the buyer. Whether you`re selling in ? home
plumbing repair or pace makers or e-business solutions, creating a customer
relationship, and extending the opportunities you have to do business together mean
more than wooing the individual who writes the check or sign the contract. You
38
need to consider all the people who touch or who are touched by your product or
service.
Truth # 3: Service and sales are on the same team. All too often, we are called
into sales organizations or customer service departments that claim that everything
would be better if those other people, in service or sales would just straighten
up and get their act together.
The sales people lament that the customer service people just complain, complain,
and complain about pesky details like a few over ? promises or a couple of tight
delivery dead lines. Don`t they know that we`ve got to promise those things to
get the sale?
The customer service people roll their eyes at visions of golf club-swinging sales
types teeing off with unrealistic promises and assurances that the customer
service team will be happy to move mountains for you. Don`t they know we
have policies? If we did that for this customer, we`d have to make the same
exception for every customer.
The truth is that to win the game of business, sales and service have to be plain on
the same team. The phrase Service / Sales can serve as a reminder for both groups
that you win only when you work together.
The Three Levels of Service / Sales
There are three service / sales levels to the Customer Service / Sales Profile model
39
Level 3:
Customer Advocates
..........................................
Level 2:
Repeat Customers
..........................................
Level 1:
Initial Transactions
Figure 1.7 The three service / sales levels
Level 1 is initial transactions. At this level you are focused on discrete, initial
interactions or stand-alone sales. This is the foundation for every business or
organization. Yet, we know that the more money, time, and energy you must invest
in getting customers to come to you in the first place, the harder it is to be profitable
just working at this level. As we noted in Chapter 1, it`s not unusual for customers
to actually cost you money the first time they do business with you. Just consider
the acquisition costs for you customers.
As you can see, in order for our Nature Retreat Center to be profitability at level 1,
they need to:
? Identify customers at risk of leaving, never to return, and find our how they
can woo them back.
40
? Look for ways to teach new customers more about what the Nature Retreat
Center offers and how it works so that there are fewer avoidable service
issues.
? Give staff tools and training on ways to turn the interaction into revenue ?
generating opportunities while at the same time making guests feel well
served.
It will be important for the Nature Retreat Center to focus on this improvement.
When initial transactions run smoothly, with the minimum of fuss or error, it
provides a strong foundation for future business.
Level 2 represents repeat customers. At this level you`re focus on getting customers
to return for a second, third or fourth time. Customers may come back for the same
purchase ? like the loyal Carivou Coffee customer, cordially known by the staff as
the extra large, skil latte with Carivou cookie. Or the customer may turn to you
for a variety of products and services ? like a car insurance customers who comes
back to a agent for home owner`s, this ability, and life insurance.
Repeat customers develop greater economy and emotional ties with you. And they
bring with them and expectation that you will value those ties. For example, the
Caribou Coffee customer may expect you to save the last Carivou cookie for him.
And the insurance customer will look for her discount for having car, home, and life
insurance with the same provider.
Yours CRM strategy will tell your team how much importance to place on repeat
customers. CRM tools will help your team identify this precious members of your
41
customer mix and prompt team members to notice and value the extended
relationship with you.
The top level of model is customer advocates. Level 3 represent those customers
who are not just satisfied and willing to do business with you again. These
customers actively tell others about their positive experience they spread the good
word. You might even consider them to be active participants on your marketing
team.
As you can see, each level builds upon the level before without quality initial
transactions, customers won`t want to do business with you again. And it`s the
customer who seems himself or herself in a positive relationship with you who can
provide the strongest advocacy for you and your product and services.
The Shape of your Custom Service/ Sales Profile
The Shape of your Customer Services / Sales Profile reflects the relationship among
this three levels. It is driven by the nature of the product or service you offer, the
expectation of your customer base, and the forces of market competition.
There are three basic Customer Service / Sales Profiles: The Pyramid, the Hourglass
and the Hexagon.
42
The Pyramid Profile
The Pyramid is the conventional way to see the relationship among the three levels.
It applies to the majority of businesses. Consider a retail department store, such as
Minneapolis ? based Target Stores. Each days hundreds of customers walk through
the doors of any one Target location. Still more customers shop online at
Target.com. Those customers represent the base level of initial level. The
percentage of those customers who are loyal to target, who regularly seek Target in
preference to its competitors, make a level 2. At the top are those customers who
actively send their friends, family members, and even business associates to Target.
They tell positive stories about staff and service.
Level 3
Customer
Advocate
s
Level 2
Repeat
Customers
Level 1
Initial
Transactions
43
As you might imagine not every pyramid looks like a perfect isosceles triangle. For
example, in some business model, there`s a very strong emphasis on repeat
customers but less on customer advocates. As one sales person for a large ? scale
computer application told us, Yes, I think my customers are happy enough to
keep business with me. And I`m working very hard to keep them happy. But, no. I
wouldn`t want to put my existing customers in a room with my prospects.
If you don`t trust your repeat customers to help you sell a prospect, then you
have pyramid with a broad middle and a small top. It might be tempting to tell this
sales professional to go out and create more advocates. And that would be a
dangerous shift if it meant losing focus on the repeat customer group. In a Pyramid
Profile, customer advocates grow directly out of exceptionally well ? satisfied
repeat customers.
The Hourglass Profile
The Hourglass Profile is less common. In the Hourglass, you have a broad base of
initial transaction, only a few of which become repeat customers. However, you
seek to create customer advocate from as many of those initial transaction as
possible.
44
The Customers Service / Sales Profile
Level 3
Customer
Advocate
Level 1
Repeat
Customers
Level 1
Initial
Transactions
Consider the relationship between a real ? estate agent and her customer. Diane, and
agent in the business for over a 15 years, explains that she sometimes gets a second
sale, but rarely a third from most of a customers. I get a second sale where the
initial house is their starter home`. After two or five years they are ready to move
up. Many of my clients are selling because they are moving out of the area. I don`t
get a second chance with them.
Yet Diane`s business is booming. Her company has recognized her as a top
performer for several years in a row. I think my secret is really no secret. My
clients are my biggest sales force. They are constantly recommending me to people
they know who are buying or selling a home.
45
And Hourglass is most stable when it has a strong base of initial transaction and
those transactions are handle in such a superior way that customers are eager to tell
others about their experience. When this happens, the Profile creates its own self-
renewing energy. Diane, for example, does put considerable time and effort into
maintaining contract with past client, sending them calendars and other reminders,
and keeping a name and phone number easily accessible so client who have an
inclination to recommend her will find it easy to do so. But Diane is a first to admit
that this process work with more ease and flow then in the yearly years of business,
when she was less sure of herself and less sure about satisfying her clients.
The Hexagon Profile
In the Hexagon Profile describe a business that is very stable. It has all the repeat
business it can handle or wants, so it feels little motivation to actively seek for level
3, customer advocates. It also feel no strong motivation to focus on initial
transaction, since there are already plenty of repeat customers: for the movement.
This is a vulnerable profile. Should anything disrupt the core of repeat customers,
the business will be hard-pressed to replace them.
46
Level 3
Customer
Advocates
Level 2
Repeat
Customers
Level 1
Initial
Transactions
The Hexagon Profile can self ? destruct when supply and demand are no longer in
balance and no longer working in your favor. We watch a small advertising agency
go under because it was operating under this profile. Secure with its three major
clients and a study mix of small filler jobs, the team focused on doing the work.
They paid little attention to growing their filler jobs into something more, or to
get in their name out to encourage new client, or even to inviting their current
clients to recommend them. When first one and then two of the core clients move
their business, the team couldn`t replace them quickly enough to stay viable. I
haven`t done marketing in so long. I don`t know where to begin, one owner sighed.
How much easier it would have been if they`d asked for letters of recommendation
and referrals months before, when their core customers were active and satisfied.
47
Pitfalls of the Customer Service / Sales Profile
There are two common pitfalls that cause individuals and department to become
misaligned around their Customer Service / Sales Profile
1. Focusing on the top. It`s personally and professionally satisfying to have
customer advocate. Human nature yearns for their positive affirmation.
Beware of taking their praise so much to heart that you begin to think that
anyone who isn`t and advocate is just too picky and hard to please.
2. Focusing on the Front door. Initial transaction are critical, but they`re only
one step in the customer relationship. When a rush of activity comes... and
especially when it stays... it`s easy to get caught up in processing customers
through faster and faster ? Don`t worry if it`s not perfect, someone else is
waiting to be served! yet when the rush is over and you`re waiting in vain
for the next new customer, all those initial transaction will be looking for
someone else, someone more service - oriented, for their next transaction.
CRM and your Profile
So what`s your Customer Service / Sales Profile? Are you operating as a pyramid?
As an Hourglass? Or as a Hexagons? It`s important to know what kind of customer
relationship you`ve being creating so that you can be thoughtful and strategic in
choosing what kind of customer relationship you want to create from this point
forward.
48
What`s work about your current profile? And what would you like to change? The
answer to these questions will help to shape your CRM strategy. You will find that
it`s easier to align your team-and your organization-around a clear and consistent
CRM strategy if you all share a common vision of your Customer Service / Sales
Profile.
QUESTIONS FOR DISCUSSIONS
1. What is emphasis in customer relationship management? Is it on creating
initial or stand-alone transactions (Level 1)? Is it repeat customers (Level
2)? or customers advocates ( Level #) drive your success?
2. The Hourglass profile focus is on turning customers into advocates based on
their initial experience
3. The pyramid profile is the most common. Intial transactions lead naturally
to repeat business and a percentage of those repeat customers move into
advocacy
49
5. SERVICE - LEVEL AGREEMENTS (SLA)
It is just a new-age term for the age- old telecom contract, writes Julie Bort in her
article, SLA Savvy, Five Secrets for Making Sure You Get the Most from Your
Service-Level Agreements (Network World, September 27, 1999). And she`s right.
However,
today
service-level
agreements
cover
much
more
than
telecommunications. SLAs can also be found in IT (information technology), ASP
(application service providers), and ISP (Internet service providers) agreements.
And, whether you enter into a formal contract or use the concept in informal
contract or use the concept in informal partnership discussion, understanding SLAs
can help you ensure that everyone in your team is on board and contributing to your
customer relationship management strategy.
Service-Level Agreements Defined
In the words of Joel Snyder of Network World, and SLA is really just a
description of the service you`ve bought and paid for... While Joel is literally
correct, and SLA implies- and spells out in detail ? something more. According to
the ASP Industry Colsortium`s Buyers Guide to Service ? Level Agreement and
SLA should include:
? The purpose of the SLA,
? Description of service,
? Duration of service,
? Installation time table,
50
? Payment terms,
? Termination conditions, and
? Legal issues such as warranties, indemnities,
? And limitation of liability.
The SLA, then, is a contract between the service provider and the customer ?
typically a business or organization, rather than an individual consumer.
Three keys to effective SLAs
Whether you`re the service provider or the customer a well thought out and clearly
executed SLA can strengthen your relationship by setting reasonable expectation,
clear measures of performance, and rewards when performance is excellence or
remuneration if it falls short.
To see this more clearly, let`s consider a typical consumer agreement for telephone
service compared with SLA between a telecom provider and a call center. Are
examples look from the customers point of view, but feel free to imagine yourself
on either side of these agreement. Consider the role the agreement does or does not
play in keeping the customer loyal.
Put on your consumer hat for a movement. As a residential customer, you have a
service agreement with your local telecom provider. You agree to pay a certain
amount per month and the provider agrees to give you a dial tone. You may also
contract with the same provider for additional services such as caller id, last call
return, phone or line repair and the like. You decide to add a second line for your
51
new home office. You call and to make and appointment for line installation. Our
technician will be there between 8 and noon.
You don`t want to take the entire morning off work. Isn`t a more definite
appointment available?
No. We`ll call you when the technician is on the way. That`s the best we can do.
So you take the morning off work, wait for the tech...and wait...and wait. At 11.50,
you call the dispatcher for the status check....again.
Oh, the other job ran long. The tech won`t be able to make it. We`ll have to
reschedule. How about 8.00a.m. to noon, a week form today?
You may get angry, but short of switching service providers, there`s not much you
can do.
Now, put on your business hat. Your organization also contracts for telephone
services. Let`s imagine, for example, that you have a customer contact center where
hundred and five service representative handle incoming customer calls 24 hours a
day, 7 days a week. Its imperative for your business that customers have 24/7
access, so you need a very high level of performance from your telecom provider.
So, you establish service-level agreement.
In it, you detail accountability. Is your provider just bringing a dial tone to your
internal telecommunication system? Or is your provider responsible for ensuring 52
that your internal telecommunication system is functioning correctly? What about
third ? party software or hardware? Will your provider take responsibility for
telephone lines installed by another vendor? And what will the provider be
responsible for if fire, flood, or an act of God interrupts your service?
Next, you detail performance level. What amount of time, if any, is it acceptable for
your phone connection to be down? How quickly will new lines be installed
when you choose to expand your service? Every key aspect of performances
covered, in a quantifiable way, so you and the service provider know when the
performance level is met and when performance is unsatisfactory.
Finally, you detail in your SLA remuneration. Remuneration is what the service
provider promises to give you if it fails to meet performance level. Usually, it`s a
percentage of the fee for service. This part of the SLA can also include rewards if
the provider gives an exceptional level of service performance.
You want to bring in three new phone lines. You call and make an appointment. In
accordance with your SLA, installing new lines of this type may take as long as 48
hours. Because the sooner the lines are in, the more the provider meets, the
company has an intensive to do a speedy job-and it does, getting your new lines up
and running less than 24 hours after your call.
As a customer, its easy to see how the SLA benefits you. Thinking of the consumer
example, you may even wish you had an SLA to hold over the head of your local
telecom service provider. However, from the service provider`s point of view, the
SLA is more than a big stick wielded by customers to get performance.
53
Remember our definition of customer relationship management: a comprehensive
approach for creating, maintaining, and expanding customer relationships. The
crafting of the SLA provided and opportunity to create a customer relationship with
reasonable and achievable expectation. It was a time for engaging a customer in
creation of the service plan that works for both the provider and the receiver. Clear
expectation for both the everyday event of the service relationship, such as
expanding service, and fall backs and compensation for those times when, despite
best efforts, things didn`t work as we`d hope, also keep the customer relationship on
an even keel.
Creating an SLA
As a manager in promoting CRM, you may be on the provider or the receiver side
of the SLA. Either way, the process for creating your service-level agreement
remains the same, especially when the services you`re contracting are tools to
support your CRM strategy
There are six steps to the SLA process map.
Step 1 in the process is to review your CRM strategy.
Because SLAs are traditionally focused on who does what and when, it`s critical to
begin with why any of us are doing any of it. The key focus should always be to
create and retain customers
With a clear understanding of what you want to accomplish you can move to Step
2: meet with the other party to define requirements and expectations. It`s 54
important to be extremely clear in your definitions because you and the other party
whether a service provider or a customer - may have different worldviews.
Don`t leave any expectation or requirement unstated. Walk together through the
service process. What will it look like, feel like, sound like, when everything is
going well? What types issues or service interruption might use anticipate and how
should those be handled? Managing Relationship Through Conflict, for more on
handling possible service problems. When you think you`ve defined the key
performance requirement and expectation, take again with your CRM strategy. Will
this performance truly help you achieve your CRM goals?
When both sides have agreed upon the key performance and expectations, you`re
ready for Step 3: Defined performance measures. How will you determine if the
agreed-upon performance level is being met? Measures should be timely and
accurate, without placing any undue burden on anyone.
If your SLA concerns and application, you may measure performance with an
application monitoring tools. This software solution can detect and record
problems, identify slow downs, and run in ? depth reports on transaction and
response time. If human performance is at issue, you may need both quantitative
and qualitative measures. Again, compare your performance measures with your
CRM strategy. Are your measures getting at the performance elements that most
promote your CRM approach?
Step 4. Define rewards and penalties, goes hand in hand with Step 3. The
performance measures means little until its use to give rewards or to make
55
corrections. Traditional SLAs focus on remuneration, on what the service provider
will give back if performance falls short. Little, if any, attention is given to rewards
for great performance.
The reward is, they get to keep the contract, one manager told us. Why should
I give them extra if they do what they said they would do?
Good point but what about those times when the service provider goes above and
beyond? You may want to be more creative in defining rewards. For example, you
could ask for a letter of acknowledgement and praise that you can share with the
service team... or even use in marketing. The key is taking this opportunities to
define ways to draw customer attention to superior performance.
Before leaving Step 4, compare your remuneration and reward agreement with your
CRM strategy. Are you penalizing any behaviour that actually promote your CRM
strategy? Are you rewarding any behaviour that doesn`t serve your CRM strategy?
Now you`re ready for implementation, Step 5, monitor performance. Here`s where
the rubber meets the road. You`ve define expectation and requirements, set up
measures, and decided what you`re going to do-to reward of to correct ? based on
the results. Put the process into motion and watch it go.
Keep your CRM strategy in mind as you review your monitoring efforts. Are you
the monitoring police or the performance partner? We believe that your monitoring
process can and should actually model the types of relationship you wish to
promote with your customers.
56
The final Step 6, is to review the SLA regularly, at least annually. The first year, we
recommend that you review the agreement even more often, so you can make any
needed adjustment in expectation and requirement. Sometimes it`s only after an
SLA is in place that you realize that a measure is sending performance in the wrong
direction or that your monitoring process is too cumbersome to provide timely
information.
Equally important in this step is realizing that your CRM strategy may change over
time, so you`ll need to adjust your SLA to stay current with it. The following box
summarizes the step we`ve just discussed.
Using SLAs to support Internal Customer Relationship
Used with an internal customer relationship, SLAs can help you achieve two of the
CRM success factors listed in chapter 1.
1. Builds strong internal partnerships around the CRM strategy
2. Employees at all levels and all areas accurately correct information for the
CRM system.
As stated earlier , CRM is everyone`s responsibility CRM does not belong just to
sale and marketing. It is not the sole responsibility of the customer service group.
Nor is it the brain child of the information technology team.... CRM must be the
way of doing business that touches all areas. Internal SLAs can help other area
know exactly how they support CRM.
57
For example, imagine that you`re the manager of the customer service group. Your
relationship to your organization`s CRM strategy seems pretty clear. Your group is
in contact with customers every day, using CRM tool to track each transaction, spot
new trends as customer expectation change, and identify opportunities to expand
the service relationship.
In addition to your contact with external customer, your group has internal service
relationship with many other areas, including the warehouse. After reading this
chapter you decide to create an SLA with this group as internal partners, you
recognized that the agreement will involve performance ? level expectations on
both sides. You`ll bring your concerns and invite your counter parts to bring theirs.
You`re there to discuss what you expect and what you need, so that at the end of the
day external customers are well served. CRM, serving customers so well that they
want to continue to do business with you and to find new ways to do business with
you, is a touch stone for a good agreement.
For example, one of Kristi Anderson`s clients recently installed a new CRM
software to track customer problems. Customers service representative where
instructed to open a ticket for each customer incident. Some incidents were complex
and needed to be escalated to the engineering group for resolution. The engineers
were good about acting to resolve the issue, but lousy about recording their actions
and closing out the trouble ticket; it just seemed like unnecessary extra work to
them. The manager of the customer service group met with the engineering team.
Without using the term service-level agreement, he took them to the process
during the meeting. Once they understood why the information on the trouble ticket
was important and how it was used, they were much more willing to complete the
58
online forms. In return they asked that some of the firms be simplified and that the
groups agree on some common short hand ways of entering information. Recent
monitoring shows that the engineers are following through on their performance
commitment. The internal partnership between engineering and customer service is
stronger than ever.
Your internal service ? level agreement may not have the financial rewards or
remuneration however, you can be creative. May be you`ll decide to reward
superior performance on either side by hosting a pizza party in appreciation.
Making SLAs Work
Ideally, service ? level agreement are a way to ensure that a performance enhances
customer relationship. But SLAs aren`t a substitute for the ongoing, day ? today
work of uncovering what a customer expect and need, and searching for new ways
to provide it to them.
Service ? level agreement don`t work when:
? Compliance to the letter of the law in the agreement means more than
serving the customer.
? Customer needs an expectation change, but his SLA doesn`t.
? Penalties are ignored or seen as a cost of doing business
? Superiors performance isn`t recognized and acknowledge in a meaningful
way.
59
Make sure that your formal and informal SLAs don`t fall into one of these
performance traps.
The SLA model ?defining accountability, performance levels, and reward and
remuneration-is a powerful tool for your customer relationship management efforts.
We encourage you to take the SLA model and use it with your business-to-business
customers, your consumer customers, and your internal customers.
DISCUSSION ISSUES
1. What is the relationship approach to business?
2. What are the ingredients of a CRM strategy?
3. What issues should a CRM strategy try to answer?
4. A CRM strategy is a paradigm shift in the way we conduct business. Comment
5. What steps can a company take to move customers up the loyalty ladder?
6. Where is your customer relationship emphasis? Is it on creating initial or stand-
alone transactions (Level 1)? Is it repeat customer (Level 2)? Or do customer
advocates (Level 3) drive your success?
60
1. CRM in Marketing
The concept of managing relationships with customers is not new.
Companies have been interfacing with customers since the beginning of
trade. However, the focus has always been to sell the products or services,
as opposed to focusing on Customer Retention. Competition, driven by
globalization and the Internet, has changed the face of business.
Customers now have a variety of choices and, most importantly, they are
becoming far more knowledgeable and demanding. The power has truly
shifted to the customer. With this scenario, most companies realize that
they need to treat their customers with more care. Companies are now
desperately searching for different ways to manage customer relationships
effectively, not only to acquire new customers, but also to retain the
existing ones. According to a Harvard Business Review Study, some
companies can boost their profits by almost 100% by retaining just 5% or
more of their existing customers.
CRM: A Business Strategy for growth
CRM is not a product or service; it is an overall business strategy that enables
companies to manage customer relationships effectively. From the business
perspective, it provides an integrated view of a company's customers to everyone in the
organization so that the customer can be serviced effectively. For example, if marketing
runs an outbound campaign, all the information about the customers and the program
should be retained for the sales people to follow up, the customer service people to
answer any queries, and technical support to provide any field support. The idea is to
have the same information shareable with all in the company.
61
This will enable the company to present a uniform face to its customers when called
upon to serve their needs. Such a CRM strategy also implies that the enterprise is
customer-centric.
Customer relationship management (CRM) Defined
CRM is a discipline as well as a set of discrete software and technologies that focus
on automating and improving the business processes associated with managing
customer relationships in the areas of sales, marketing, customer service and
support. CRM applications not only facilitate multiple business functions but also
coordinate multiple channels of communication with the customer - face to face,
call centre and web. CRM covers methods and technologies used by companies to
manage their relationships with clients. Information stored on existing customers
(and potential customers) is analyzed and used to this end. Automated CRM
processes are often used to generate automatic personalized marketing based on the
customer information stored in the system.
Implementing CRM
Customer relationship management is a corporate level strategy, focusing on
creating and maintaining relationships with customers. Several commercial CRM
software packages are available which vary in their approach to CRM. However,
CRM is not a technology itself, but rather a holistic approach to an organisation's
philosophy, placing the emphasis firmly on the customer. CRM governs an
organization's philosophy at all levels, including policies and processes, front of
house customer service, employee training, marketing, systems and information
management. CRM systems are integrated end-to-end across marketing, sales, and
customer service
A CRM system should-
62
? Identify factors important to clients
? Promote a customer-oriented philosophy
? Adopt customer-based measures
Develop end-to-end processes to serve customers
? Provide successful customer support
? Handle customer complaints
? Track all aspects of sales
Uses of CRM
In its broadest sense, CRM covers all interaction and business with customers. A
good CRM program allows a business to acquire customers, provide customer
services and retain valued customers.
Customer services can be improved by:
? Providing online access to product information and technical assistance
around the clock
? Identifying what customers value and devising appropriate service strategies
for each customer
? Providing mechanisms for managing and scheduling follow-up sales calls
? Tracking all contacts with a customer
? Identifying potential problems before they occur
? Providing a user-friendly mechanism for registering customer complaints
? Providing a mechanism for handling problems and complaints
? Providing a mechanism for correcting service deficiencies
? Storing customer interests in order to target customers selectively
? Providing mechanisms for managing and scheduling maintenance, repair,
and on-going support
63
Business Objectives of CRM
CRM applications, often used in combination with data warehousing, E-commerce
applications, and call centers, allow companies to gather and access information
about customers' buying histories, preferences, complaints, and other data so they
can better anticipate what customers are looking for. The other business objectives
include:
? Increased efficiency through automation
? The ability to provide faster response to customer inquiries
? Having a deeper knowledge of customer needs
? Generating more marketing or cross-selling opportunities
? Better information for better management
? Reduced cost of sales and increased productivity of Sales Representatives
? Receiving customer feedback that leads to new and improved products or
services
? Conducting more one-to-one marketing
Essence of a CRM solution
In many companies, sales, marketing and customer service/support organizations
work as decentralized functions. This forces customers to run from pillar to post
when trying to meet their demands, creating a good deal of dissatisfaction. CRM
provides a common platform for customer communication and interaction. The use
of CRM applications can lead to improved customer responsiveness and a
comprehensive view of the entire Customer Life Cycle. While CRM applications
provide the framework for executing the best practices in customer-facing activities,
ERP provides the backbone, resources and operational applications to make
organizations more efficient in achieving these goals. CRM also acts as an enabler
for e-business by developing web-based collaborations between the company, its 64
suppliers, partners and customers. It can extend the traditional channels of
interaction such as direct sales force or tele-business to the Web by providing a
framework for managing the interactions and transactions. It also enables the
customers to purchase products or services on-line and receive web-based services
and support; with everything personalized to the individual customer.
CRM Applications
The genesis of CRM is Sales Force Automation (SFA). Current CRM applications
are a convergence of functional components such as sales, marketing, and customer
service, advanced technologies & communication channels.
Sales Applications - The thrust of sales applications is automating the fundamental
activities of sales professionals. Common applications include:
? Calendar and scheduling
? Contact and account management
? Compensation
? Opportunity and pipeline management
? Sales forecasting
? Proposal generation and management
? Pricing
? Territory assignment and management
? Expense Reporting
Marketing Applications - Marketing Applications form the newest breed of
applications in the CRM space. These applications complement sales
applications and provide certain capabilities unique to marketing.
Common applications include:
65
? Web-based/traditional marketing campaign planning, execution and analysis
? Collateral generation and marketing materials management
? Prospect list generation and management
? Budgeting and forecasting
? A marketing encyclopedia (a repository of product, pricing and competitive
information)
? Lead tracking, distribution and management
Marketing applications primarily aim to empower marketing professionals by
providing a comprehensive framework for the design, execution and evaluation of
marketing campaigns and other marketing related activities. For example, a
successful marketing campaign typically generates qualified sales leads that need to
be distributed to sales professionals who need to act upon them. Marketing and
sales automations are therefore complementary.
2. One-to-one Relationship Marketing
It is an approach that concentrates on providing services or products to one
customer at a time by identifying and then meeting their individual needs. It then
aims to repeat this many times with each customer, such that powerful lifelong
relationships are forged. As such it differentiates customers rather than just products
One to One Marketing is more than a sales approach. It's an integrated approach that
must permeate all parts of an organisation: marketing, sales, production, service,
finance, etc. In fact, One to One Marketing needs to become the guiding vision that
drives the whole company. One to One Marketing recognises that lifetime values of
loyal customers who make repeat purchases far exceed that of fickle customers who
constantly switch suppliers in search of a bargain. This is
66
particularly true within financial services where the customer acquisition costs are
very high.
Whilst at first the concept appears to be only suitable for a niche market of rich
clients, modern information technology, particularly the new interactive mediums,
provide an opportunity to bring personalised and customised products to the mass
market yet at a mass produced price. This is called Mass Customisation. However,
it does require new thinking that breaks away from the traditional concepts of mass
marketing and mass production. It is now recognised that the acquisition costs of a
new customer is many orders of magnitude greater that of retaining an existing
customer. For example, in the general insurance industry acquisition costs can be
equal to 2 to 3 years profit, yet many customers are switching suppliers every year!
Further, with the introduction of Data Mining, many companies are now realising
that just 20% of their customers provide 80% of the profits. Worst, many of the
remaining 80% of customers are lost-makers.
One to One Marketing is different to mass marketing because it differentiates the
customers & not products, and because it selects customers based on their lifetime
value. Studies show that such an approach produces a more profitable income
stream and more competitive advantage. Many of these more profitable customers
are discerning, and they demand or aspire to more personalised products and
services. It is true that the provision of such products and services has in today`s
mass markets become an expensive niche, and many customers feel "forced" to take
the standard offerings. No wonder they become dissatisfied and switch when a new
bargain is advertised. And in situations where there is no mass market. (e.g.
solicitors) customers are becoming resentful for the apparent poor value for money.
But now we have powerful and plentiful IT system, allowing us to create a whole
new paradigm. It's called Mass Customisation.
67
Mass Customisation
Mass Customisation harnesses these new technologies to bring customised and
personalised products and services to customers at a mass production price. The
uniqueness and profitability of customised products and services, together with the
economies of scale and mass market penetration, stemming from the use of mass
production techniques.
Mass Customisation introduces a new paradigm whereby companies seek to
fragment the market through economies of scope. Customers become integral with
the product and service design processes, with more sophisticate customers
undertaking simulations to answer "what-if" questions. Products and services are
assembled from components to build unique products for individual needs. Mass
Customisation, like One to One Marketing, requires new organisational thinking.
Every customer interaction provides an opportunity to learn more about the
customer's needs and to then amend their existing products or services to meet their
changing circumstances. True customer service leading to strong relationships and
enhanced lifetime value. Every employee becomes a marketer!
Mass Customisation is a componentised approach for assembling individual
products and services to meet the unique needs of your customers but at the same
cost as a mass produced product. Using modern information technology, customers,
agents, distributors or employees can assemble these products and services to meet
your customer's specific requirements. But it doesn't stop at product sales. Over
time, the products and services are amended so that they continue to meet customer
needs, and continue to reinforce the bonds between you and your customers. When
One to One Marketing is combined with Mass Customisation we have a very
powerful synergy that provides a true competitive advantage. Relationship
68
marketing as practised in various sectors along with some effective tips on using
your customer`s database
Why relationship marketing at all?
When offerings from various companies are nearly at par in terms of quality and
performance, it is the personal equation between a buyer and seller, which often tilts
the scale in favour of the seller. Here are some examples of companies who have
implemented relationship marketing and have benefited from it.
Personal touch
In 1985, the FMCG giant Nestle had only 20% of the baby food market in France.
They regularly mailed information on childcare to young mothers. Qualified
dieticians were employed to help mothers chalk out a nutrition schedule for their
children. By 1992, its share shot up by 40%.
Cementing bonds
Birla Super Shoppes seeks to build relationships by offering free consultancy to
cement buyers such as masons, civil engineers and contractors. Each Super Shoppe
has a civil engineer and a taskforce to assist him. Travelling to the customer`s site to
give a demonstration or solve their problem helped them to build relationships with
the customers.
Banking on relationships
ANZ identified a gap between what customers expected (in the form of advisory
services and investment banking) from the bank and the perceived delivery. It is for
this cr?me de la cr?me, that the Captain Grindlays Club was formed. The bank
pushes the whole customer-bank relationship beyond the ordinary functional
spheres of banking, to something more one?to?one and exclusive.
How to use your customer database
For Customers
69
? Send timely reminders of needed services: doctor's/dentist's appointments,
oil change/tune up, "your letterheads/memo pads will be depleted soon.
Order now with the attached reply form..."
? Send customers' kids birthday cards, if you can get that on your database.
? Invite customers/prospects to a product demonstration or educational
seminar. (Free to customers, small fee for prospects.)
? Using careful segmentation, send:
Information about price changes
Information about product changes
Product samples to customers.
Newsletter (especially as part of a Frequent Buyer program).
For Business-To-Business
? Case studies of successful implementation of your product. IT companies
include case studies of solutions developed for their clients in their sales
brochures.
? Send press releases on new product announcements to customer/prospect
segments. Include information for requesting product brochures.
? Reprints of your ad campaign with note. (In case you missed our ads when
they ran in ...xyz...and ...abc..., we're sure you'd want to see them.)
? Contests (customers only). Integrate with sales incentive contest for sales.
? Send them a copy of the annual report.
Conclusion:
If a firm is to implement relationship marketing, it has to understand the objective
and nature of such a strategy. In the competitive situation that is emerging in almost
all industries and markets, a relationship marketing strategy is crucial for survival.
One-to-One Marketing - The Technologies
70
One to One Marketing exploits the new technologies, especially the interactive
ones: Internet, interactive TV, web-TV, kiosks, fax, e-mail, voice mail, personal
data assist, mobile phones, smart phones, etc., all allow personal messages and
encourage customer feedback - and at a time and a place that suits the customer.
Exploiting these technologies requires a range of appropriate support technologies,
such as: customer information system, rules based systems, e-commerce systems,
data mining tools, component based IT systems, enterprise repositories, object
technology systems to mention a few. But these new technologies can do far more
that simply provide new distribution channels to customers, or to support
relationship management - important though these issues are in these competitive
times. Interactive mediums, together with the support technologies outlined, can
herald a new era of Mass Customisation
One-to-One Marketing - More than Technology
One to One Marketing requires a different approach: There is a need to manage
your customers, not just your products. You must take products to customers, not
expect customers to come products. Protecting privacy is important. Threatening
privacy destroys trust and discourages collaboration. It requires that all parts of the
organisation that deal with or support customer services, to be truely customer
focused, treating each as an individual. To be successful with One to One
Marketing you may well need to undertake a change management programme.
Benefits of One-to-One Marketing
? Higher Profits
? One to One Marketing delivers economies of scope. Not economies of scale.
? It initially concentrates on those 20% or even 10% of customers who are
your most profitable.
71
? By providing tailored products to meet particular needs, you make
comparative shopping difficult and you shift the focus from price to benefits.
It aims for lifetime share of customer, not a share in an often static
and crowded market.
? By developing Mass Customisation capabilities, you can then extend the
service to more customers. You then gain an ever increasing market share
without the need to match the lowest price mass market supplier.
? Lower Costs
? The cost of keeping profitable customers far outweighs the acquisition cost
of new customers.
? With an intimate knowledge of individual customers, products and services
can be more accurately targeted (right specification at the right time in the
right way).
One-to-One Marketing - The Implications. Promotion - One to One promotion
needs to highlight individual possibilities and unique benefits. Timeliness of
delivery is important.
Design - Customer needs will be better met where products and services can be
personalised and customised easily. The marketing department needs to take a
component based approach and create identifiable basic building blocks.
Rules will define the possible combinations and limits. Such rules will usually be
held in a rules repository, along with the other business that defines policies,
processes, etc. Processes and IT systems will need to support this approach, not
only in product development, but through marketing, sales, and servicing.
72
Production - Production systems needs to assemble the basic blocks according to
the rules. This may be down by your sales staff, agents, distributors or your
customers themselves (Mass Customisation).
Servicing - Profiles of individual customer products as well as profiles of the
individual customers, need to be available to support staff throughout the life of the
customer.
Feedback - Feedback during the any part of the marketing, purchase or support
cycles needs to be encouraged and captured. Such data needs to be analysed,
communicated, and acted on in a timely fashion, perhaps within minutes.
Information provided by customers must be used sensitively and be kept secure.
Organisation - All staff will be need to be well trained and motivated to meet
individual needs. The management style and organisational culture may well need
changing. Staff need to be supported with good Information Technology A shared
customer information system, data mining tools, interactive technologies, flexible
component based systems object technology systems, and rules based systems are
key.
3. Cross and Up Selling
Cross selling and up selling are two of the best ways to develop your customer base
and increase your average customer value.
Cross selling is the strategy of selling your customers a wider range of your
products and services. This can be done by identifying which products to target at
which consumers based on their past purchases and behavior. E.g. if they have a
bank account would you try to sell them a mortgage, a pension or an ISA? To
understand what products your customer may be in the market for you need to
understand more about them. If they are older they may not be interested in a
73
mortgage or a pension but they may be interested in savings products. To do this
you need to understand:
? Demographics such as age, income, family composition
? Product history
? Responses to previous campaigns/offers
All this information can then be combined to build a propensity model for your
different products to be used in campaign selections.
Up selling means driving more value out of the customer by making sure they make
use of your service more often or upgrade to a higher value product. This would be
done using the same techniques as for cross selling. Only by understanding more
about your customers can you hope to target them with the right product proposition
at the right time. This tactical activity can be a key tool in retention by deepening
the customer relationship as they have an increasing number of products from you.
How to up-sell, cross-sell and optimize
There are five ways to do this -
? Offering a greater quantity for a slightly higher price - For example, giving a
three-for-the-price-of-two discount or a 'large' portion for a 'medium' price,
such as a case of wine for the price of 10 bottles.
? Offering complementary products - For example, promoting accessories for
electrical goods, such as batteries, tapes and carry-cases.
? Offering related products - For example, offering a discount on boots when
a customer buys a winter coat, or swimwear with summer clothes.
? Offering a premium product - For example, ensuring that customers can't
visit your site without being aware of the existence (and the advantages) of
your highest-quality, big-ticket products.
74
? Rewarding loyalty - For example, offering a virtual discount voucher
redeemable the next time your visitors your site, or if they refer you to
friends and family.
Repeat nature businesses - baby supplies,
If a customer regularly buys a particular product, then it's highly likely he is also
buying related or complementary products (nappies with baby toiletries, for
instance). If you offer a discount on these related products, you are not only
increasing your sales, but helping the customer to streamline his shopping at the
same time. Likewise, a drinks retailer could offer regular customers a special
discount on premium products, such as champagne or related products such as
glasses and cocktail access
Single purchase businesses - furniture, hi-fi, computer
Because customers will only visit for a one-off purchase, the objective here is to
ensure they spend as much as possible while they are there. There are a number of
ways to do this. You could offer competitively priced product 'bundles' such as the
PC/printer/scanner/software combos offered by computer retailers. You could also
highlight special offers on related products, such as half-price speakers with every
stereo, or you could up-sell visitors to buy the premium products, for example, by
offering a free carrier or tie with your designer label Another important point to
make is that when it comes to major purchases, your customers need the decision-
making, specifying and purchasing system to be as stress-free and as positive as
possible. Therefore, you'll need to give them a first-class service throughout and
present your credentials impeccably. Plenty of top brands lose out to smaller
competitors simply because the site didn't have the same level of quality, choice or
service
Random or infrequent repeat businesses - books, music, clothes
75
The objective in this case is two-fold: one - to encourage visitors to come back
again more quickly than they might otherwise have done and two - to get people to
spend more while they are there. We have covered the second point in the section
above, but to encourage visitors to come back again, you could, as with the repeat-
purchase scenario, offer loyalty discounts and incentives. Likewise, you could draw
attention to the rest of your product range or offer volume discounts such as two
CDs for the price of two
Cross-selling and upselling are established methods of improving your sales and
increasing customer loyalty. Upselling is the practice of offering customers a
product in addition to the product they are currently purchasing. Cross-selling refers
to selling items that are related or can be integrated with the item being sold. Both
techniques can increase sales volume and provide a valuable service to your
customers.
Many product types and Web sites lend themselves perfectly to cross-selling. For
example, if you sell digital cameras, it makes perfect sense to offer related products
to your customers: photo printers, paper, or other accessories. Selling consumable
items such as paper and printer cartridges can also encourage shoppers to return to
your store time and again, creating a long-term relationship. That can mean big
profits over time. But you do not have to restrict your offerings to related items.
You can upsell your customers by offering them nearly anything in addition to the
item they are already interested in. While not necessarily relevant, as in cross-
selling, upselling can still save your customers money. By combining shipping on
multiple items, your customers can still come out ahead. You can also encourage
them to purchase additional goods by offering free shipping or discounts on orders
over a certain amount. If a customer's order totals Rs. 2500/- and shipping is free on
orders over Rs. 3000/- , they may look around for something else
76
You can employ these techniques at either the shopping phase, or at the checkout
phase. Implementing cross- or up selling at the shopping phase can be as simple as
having links to similar products on your products pages with some copy such as
"Customers who purchased this product also purchased..." This is a low-tech
solution, but it can serve to expose more shoppers to your products. After all, not
every site can populate the related products areas dynamically. Using a shopping
cart that allows you to integrate your efforts is one of the easiest ways to
successfully cross-sell and upsell your items. This is generally more effective,
because users are already making a purchase.
You can also use the Before you Check Out technique. This is a step that is
added in to your checkout process before an order is finalized. You can compare
this to the small items that you will find at checkouts in grocery stores. This method
takes advantage of the natural instincts of a shopper and is a very good way to
cross-sell inexpensive add-ons for your products.
4. Customer Retention, Behaviour Prediction,
Customer Retention
Customer Retention marketing is a tactically-driven approach based on customer
behavior. It's the core activity going on behind the scenes in Relationship
Marketing, Loyalty Marketing, Database Marketing, Permission Marketing, and so
forth. Here`s the basic philosophy of a retention-oriented marketer:
A. Past and Current customer behavior is the best predictor of Future
customer behavior. Think about it. In general, it is more often true than not true,
and when it comes to action-oriented activities like making purchases and visiting
web sites, the concept really shines through.
77
B. Active customers are happy (retained) customers; and they like to "win."
They like to feel they are in control and smart about choices they make, and they
like to feel good about their behavior. Marketers take advantage of this by offering
promotions of various kinds to get consumers to engage in a behavior and feel good
about doing it. These promotions range from discounts and sweepstakes to loyalty
programs and higher concept approaches such as thank-you notes and birthday
cards. Promotions encourage behavior. If you want your customers to do something,
you have to do something for them, and if it`s something that makes them feel good
(like they are winning the consumer game) then they`re more likely to do it.
Retaining customers means keeping them active with you. If you don't, they will
slip away and eventually no longer be customers. Promotions encourage this
interaction of customers with your company, even if you are just sending out a
newsletter or birthday card. The truth is, almost all customers will leave you
eventually. The trick is to keep them active and happy as long as possible, and to
make money doing it.
C. Retention marketing is all about: Action ? Reaction ? Feedback ? Repeat.
Marketing is a conversation, Marketing with customer data is a highly evolved and
valuable conversation, but it has to be back and forth between the marketer and the
customer, and you have to LISTEN to what the customer is saying to you. For
example, let's say you look at some average customer behavior. You look at every
customer who has made at least 2 purchases, and you calculate the number of days
between the first and second purchases. This number is called "latency" - the
number of days between two customer events. Perhaps you find it to be 30 days.
Now, look at your One-Time buyers. If a customer has not made a second purchase
by 30 days after the first purchase, the customer is not acting like an "average"
multi-purchase customer. The customer data is telling you something is wrong, and
78
you should react to it with a promotion. This is an example of the data speaking for
the customer; you have to learn how to listen.
D. Retention Marketing requires allocating marketing resources. You have to
realize some marketing activities and customers will generate higher profits than
others. You can keep your budget flat or shrink it while increasing sales and profits
if you continuously allocate more of the budget to highly profitable activities and
away from lower profit activities. This doesn't mean you shouldget rid" of some
customers or treat them poorly.
It means when you have a choice, as you frequently do in marketing, instead of
spending the same amount of money on every customer, you spend more on some
and less on others. It takes money to make money. Unless you get a huge increase
in your budget, where will the money come from?
If you always migrate and reallocate marketing costs towards higher ROI efforts,
profits will grow even as the marketing budget stays flat. You have to develop a
way to allocate resources to the most profitable promotions, deliver them to the
right customer at the right time, and not waste time and money on unprofitable
promotions and customers. This is accomplished by using the data customers create
through their interactions with you to build simple models or rules to follow.
5. Customer Profitability & Value Modeling,
Firms have been interested in customer profitability for many years. However,
about seven to ten years ago, customer profitability as a measurable component of
marketing really started to evolve for three main reasons. First, we now have the
technology that enables us to store millions of data points. Second, in the last ten
years the sophistication in analytics and modeling has increased many folds. These
models allow us to turn customer data into knowledge. The third catalyst is the push
79
for marketing to be more accountable. The emphasis on marketing metrics has
greatly increased. More and more managers are asking themselves, how do we
know we're getting a return on our marketing expenditure? Before these three
changes, businesses paid attention to profitability ? just not on a customer-by-
customer basis. The attention and analysis was focused on either product-level
profitability or on broad customer segments. Now, because of increased data storage
and analytical and modeling capabilities, we can drill down to customer level detail.
And because of the need for marketing to be more accountable, we know we need
to. Early on, CRM programs simply collected data at the customer level. There is a
huge difference between that and converting CRM-based data into customer
profitability.
The first fundamental component for understanding customer-by customer
profitability is to know the revenue and the costs for each customer. However, most
companies' accounting systems do not allocate costs on a customer-by-customer
basis. To turn CRM data into a customer profitability model, a company must
switch from activity-based cost accounting to customer-based cost accounting. This
means allocating costs by customers. The second component is to move away from
a brand management focus to a customer management focus. In a brand
management model at a bank, for example, one manager manages mortgages, other
checking accounts, and other credit cards. The managers don`t know how any one
customer interacts across the entire business. For each product, a customer may be a
low value customer, but he may be very valuable across the entire organization. Yet
because the brand managers cannot know this, they may under-invest in the
customer. If the bank followed a customer manager model, however, the customer's
true value would be apparent and could be managed accordingly. It's important to
be able to change the focus so that brand or property or departmental managers
80
don't manage customers and their information, but rather, the central organization of
the company does. The real reason is the push for marketing to be more
accountable. The typical response of a marketing manager used to be, I will
improve customer satisfaction. Knowing customer satisfaction levels is fine and
important, but it's no longer enough. Now senior management wants to know the
return on that investment so they can understand exactly how much they should be
spending to improve satisfaction. Revenue comes from customers buying products.
If you can value one customer, you can value the entire customer base of a
company. Then you can project at what rate the company is acquiring customers
and at what rate they are leaving. Combining those components enables a company
to derive the projected value of the customer base, which should be close to the
value of the firm. Our research shows that customer value provides a strong proxy
for market value of several firms. CEOs and senior management both care about the
market value of the firm. Typically market value is estimated as discounted cash
flow. The critical component in this approach is the projection of future cash flow.
What is the basis for projecting cash flow?
A common approach is to use past data for this projection Marketing takes a
bottom-up approach. Our premise is that cash flow is a result of customers buying
products. Therefore, we can project cash flow and build the ultimate value of the
company from the bottom up by looking at each customer as a building block.
Historically, when marketing talked about customer profitability, the notion was
How do I provide value to the customers? How do I make my product more
valuable to the customer? What customer profitability talks about is the flip side of
customer value ? which is how valuable the customer is to the company. So you can
think of it as two dimensions ? how do I provide value to the customer and how
does the customer provide value to me? If I don`t provide value to the customer, he
81
won`t buy anything. On the other hand, if he doesn`t provide value to me, then
should I spend valuable resources on pursuing his business? In marketing, we say
the customer is the king ? which we have to provide value to the customer. In
finance, cash is king ? how much value do I get from this particular customer?
Customer profitability brings together these two dimensions? Revenue is easier to
track because it looks at how much a customer actually gives a company. Customer
cost is a harder measure to track because most companies` accounting systems were
not designed to track customer-by-customer costs. Unfortunately, this means that
acquisition and marketing costs are grouped together and averaged. Slowly,
companies are beginning to allocate costs by customers because they can see how
many times a customer uses an ATM or frequent flyer cards and so on
6. Channel Optimization
Placing the power of predictive analytics right into the hands of marketers, Channel
optimisation is an application for campaign optimization and execution. Channel
optimisation uses advanced techniques to increase the profitability of campaigns.
The application helps marketers determine to whom to send offers, which offers to
send, when to send them and which channels to use. The objective is to enhance
customer targeting across multiple campaigns. Unlike traditional marketing
campaign approaches, which focus on choosing the best customers for each
campaign, Channel optimisation optimizes across the entire set of campaigns, and
selects the best one for each customer. This customer-focused approach can result in
25 to 50 percent increases in campaign revenue. Predictive analytics carries a
significant potential for mainstream business processes, such as marketing and
sales. The most important factor that will determine the success of predictive
analytics is the ability for business users to deploy these analytics in their day-to-
82
day-activities and incorporate the results directly into the actions they are taking.
Companies can use multiple direct channels -- direct mail, call center and the Web -
- to market its products.
Cross-Campaign Optimization - Combining predictive analytics and advanced
business logic, Channel optimisation enables marketers to anticipate how individual
customers will respond to specific campaigns and channels, and calculates which
campaigns will provide the greatest revenue. During campaign creation, users can
perform what-if analyses by adding business rules, such as specific sales targets or
budget restrictions, to immediately see the impact on campaign expenses and
revenues.
Cross-Channel Optimization
Channel optimisation generates campaigns for all outbound channels, such as direct
mail, e-mail and the call center, using predictive analytics to select the best channel
for each customer, from both a customer and cost point of view. The application
will automatically select backup channels when the capacity of a channel is
exceeded, to ensure completion of the campaign. Enforcement of Customer Contact
Restrictions enforces internal contact restrictions and interaction policies such as
do-not-call lists, ensuring that customers are not over contacted or contacted
through restricted channels. These restrictions are enforced across all campaigns
and channels.
Event-Driven Campaigns - The application monitors individual customer
behavior to identify changes or events that indicate an unmet need or potential
loss of value, and then selects the best campaign for each particular situation. As a
result, customers receive timely offers that address their actual needs.
Seamless Integration - As a complement to an existing campaign management
system, it will enable marketers to improve their campaign results. While the
83
application can support every step of the campaign management process, it will
seamlessly integrate with existing campaign management systems and processes, as
well as existing marketing databases or data warehouses.
Marketers have often had to rely on a hit-or-miss approach to campaign
management, meaning offers are often targeted too broadly, while the manual
approach to customer selection makes executing multiple campaigns complex,
time-consuming and hard to get right. Channel optimisation adds an automated
precision to customer contact that improves individual campaign effectiveness and
scales to large customer bases and complex, multi-campaign operations. The
application allows marketers to leverage their business knowledge and expertise,
but it takes the guesswork and risk out of marketing campaigns, enabling greater
efficiency, effectiveness and profitability.
8. CRM and Customer Service
Customer service is the provision of labour and other resources, for the purpose of
increasing the value that buyers receive from their purchases and from the processes
leading up to the purchase. With the rising dominance of the service sector in the
global economy, customer service has grown in importance, as its impact on
individuals, households, firms, and societies has become widespread. As a database
marketer, you understand that some customers present much greater profit potential
than others. But, how will you find those high-potential customers in a database that
contains hundreds of data items for each of millions of customers? The modern
concept of customer service has its roots in the craftsman economy of the 1800s,
when individuals and small groups of manufacturers competed to produce arts and
crafts to meet public demand. The advent of mass production in the early 20th
century, followed by an explosion in the demand for goods after World War II,
84
increased the power of suppliers at the expense of consumers, and thus reduced the
importance of customer service. A shift in this balance began in the 1970s, as
international competition increased, and the dominance of western manufacturers
was challenged, first by Japan, then by Korea, China and other developing
economies. Producers responded by improving the quality of their products and
services. The economic boom of the 1990s again increased the power of suppliers
who, while not completely reverting to lower standards of service, were able to be
more selective of which customers to serve, and of what levels of service to
provide. The overall quality of customer service - in society and in specific
industries - will continue to be determined by the relative balance of power between
suppliers and consumers; it will improve as competition becomes more intense, and
decline as competition decreases.
Strategic advantage
A company can outperform rivals only if it can establish a difference that it can
preserve. Customer service can be such a difference. It is very difficult to control,
and therefore difficult to imitate. It is difficult to control because of its variability.
The level of service may vary greatly between two providers in the same
organization. It may also vary from one moment to another, even as delivered by the
same provider. The difficulty is compounded in multi-unit operations: in addition to
variability within units, there is also variability among units. That is both the
challenge and the opportunity. The consistent delivery of superior service requires
the careful design and execution of a whole system of activities that includes
people, capital, technology, and processes. The few companies that can manage this
system do stand out, and are sought out. This is the foundation of their sustainable
competitive advantage.
Culture
85
For an organization`s members to deliver superior service consistently, they must be
acculturated, i.e. instilled with the values, traits, patterns, and behaviors associated
with a service culture. The mechanisms of this acculturation include recruitment,
training, empowerment, and accountability, within the framework of an
organization`s ideology of service.
Service Ideology
An organization`s ideology comprises its purpose (Why are we here?) and values
(What do we stand for?). Organizations renowned for providing excellent customer
service have typically defined their purpose in terms of service ? to serve their
customers, and to serve their members. Their values typically include integrity,
trustworthiness, reliability, personal responsibility, industriousness, continuous
improvement, respect, and consistency.
Recruitment
The challenge of recruiting and retaining qualified customer service focused
employees becomes painfully apparent when one is presented with a (not so
uncommon) case in which a large company situates itself within a small rural area.
This has been a tradeoff some companies have made in order to save a few dollars
on real estate costs. The difficulty comes when employees are discharged during
seasonal down cycles and the same talent is desired three or four months later. This
model is not ideal and is risky, thus companies find themselves utilizing talent
oveseas needs longer term.
Training & Empowerment
Training is focused on enabling personnel to deliver service in manner that is
beneficial to both the organisation`s customers, and to itself.
Accountability
86
Whereas outstanding service organisations allow their people to make mistakes and
learn from their failures, there is little or no tolerance for violations of its core
service values. People who do not fit into the culture are removed.
What customers want
Delivering customer service begins with understanding what customers want. And
this understanding begins with the understanding that they do not always know what
they want, or why they want it. Traditional market research assumes that they do.
Newer methods recognize that as much as 95% of our decision making is
subconscious. Common research methods (e.g. surveys and focus groups) more
often reveal what customers think their motivations are, rather than what their
motivations truly are. When respondents do not comprehend their true motivations,
they tend to state how they think they ought to be motivated. Recent progress in
neuroscience and in observational technologies have yielded more reliable, less
biased, results. Companies have Interaction Designers that use User Centred Design
methods, among others, to understand what customers need. They often use
Personas to represent the research outcomes, i.e., to describe the customer they are
designing for. Regardless of how they arrived at their findings, most researchers
agree on the factors listed in this table to the right. Suppliers that meet these
requirements are likely to give their customers a satisfactory experience. In a
competitive environment, however, satisfaction may not be enough. To stay in
business, firms must be at least as satisfactory as their competitors. Moreover, firms
that aim to gain profitable growth must increase the number of their customers,
while reducing the cost of customer acquisition. This is particularly true of
companies that compete in mature industries. The objective then is not merely to
satisfy customers, but to convert them into promoters (customers who recommend a
company to others). Promoters serve to increase a firm`s clientele, without
87
increasing its cost of acquisition ? i.e. with no additional marketing or promotional
expense. But customers do not make recommendations lightly. When they make a
recommendation, they put their own reputations on the line. Firms must earn that
recommendation through the consistent delivery of outstanding customer service
Good People
? Friendly, helpful, courteous
? Empathetic
? Knowledgeable, accurate, thorough
? Resourceful, empowered
? Able to recommend solutions
? Able to anticipate needs
? Efficient
? Trustworthy, authentic
? Reliable
? Responsible
? Appropriate appearance and demeanor
Good Offering
? Good selection
? Good quality
? In stock
? Available demos
? Clear descriptions & pricing
? Competitive prices
? Financing, deferred payments
Convenience
88
? Convenient locations
? Long hours
? Available help, fast service
? Signage that facilitates self-service
? Fast checkout
? Shipping/delivery
? Installation
? Phone/web support
? On-site repair
? Hassle-free returns
? Quick resolution of problems
Good Environment
? Clean
? Organized
? Safe
? Low-pressure
? Energy level appropriate to clientele
Benefits of customer service Providers
? Higher income (more sales, repeat business, referred business)
? Recognition
? Personal satisfaction & fulfillment
? Less stress
? Higher self-awareness and self-control
? Greater authenticity
? Happier life at work
89
? Stronger social networks, family ties
? Happier life outside work
? Organizations
? Quality sales (more add-ons, more service sales)
? More repeat business
? More referred business
? Fewer returns
? Better reputation
? Higher morale, happier employees
? Lower employee turnover
? Higher caliber of job applicants
? Fewer complaints
? Higher productivity
? Better work environment
? Higher inventory turnover
? Higher profits
Society
? Higher income from individuals and firms.
? Higher productivity
? Stronger families and social networks
? Greater civility
Customer Complaints
Complaints are often treated as a nuisance. Indeed, many organisations are so
determined to avoid them that they exclude any means by which customers can
make complaints! Yet they have considerable value for a number of reasons:
90
Although there will always be a small proportion of 'frivolous complaints', a
complaint usually highlights something which has gone wrong with a part of the
overall marketing operation; usually the high quality, which should be a
fundamental requirement for most organisation, has not been achieved. Whatever
the reason, the sensible marketer will want to know exactly what has gone wrong -
so that remedial actions may be taken. The strength of good organisations is that its
interactive nature enables the necessary conversations with the complainant to take
place easily, and in good time, and the flexible nature of the 'product' allows for
remedies to be quickly applied. The way a complaint is handled is often seen by
customers, and their many contacts, as an acid-test of the true quality of support.
What is more, it is also a powerful reminder to the organisation's own staff of just
how important is quality. Not least, customers who complain are usually loyal
customers (those who are not loyal tend just to switch to another supplier), and will
continue to be loyal (and valuable) customers - just so long as their complaint is
handled well.
In the case of services. the transparent nature of the processes themselves provide
reassurance. Even so: The first requirement is that complaints should be positively
encouraged. That is not the same as saying that the reasons for complaints should be
encouraged. But, assuming that despite your best efforts the problems has occurred,
you should put nothing in the way of any customer who wants to complain; and,
indeed, positively encourage such complaints - since the main problem lies with the
many more customers who do not complain (and instead change to another
supplier) rather than the few who abuse the complaints system. This may be
difficult to achieve in conventional markets, where the face to face contact often
relies on the member of staff causing the complaint to log it! It should be much
91
easier for e-commerce, where a specific structure can be put in place - which is
guaranteed to work.
The second requirement is that all complaints should be carefully handled by
painstakingly controlled, and monitored, procedures. Complaints must be handled
well, and must be seen to be well handled; by the complainant, and by the
organisation's own staff. Again, the structure of organisations should easily ensure
that the best audit trails are maintained, and regularly monitored.
The third, and most important requirement, is that the complaint should then be
fully investigated, and the cause remedied. Complaints are only symptoms. The
disease needs to be cured! There may be an understandable temptation to overlook
complaints until they reach a 'significant level' - but holding off until the complaints
reach this 'pain level' usually means that they have already become damaging to the
organisations' image. It is far better to assume that 'one complaint is too many'!
The reality in most organisations is very different. Not least, despite the ease with
which complaints may be handled, e-commerce companies are perhaps the worst
offenders - possibly because the customer is remote, and has no means of
embarrassing the manager responsible! Too often the number of complaints are
minimised not by remedying the reasons for them but by evading the complainants!
The assumption is usually made, wrongly so, that complainants are trouble-makers;
and have to be handled in a confrontational manner!
The reality is that most dissatisfied customers do not complain (a US survey
showed that 97% didn't!), but they do tell their friends (the same survey showed
that 13% complained to more than 20 other people!). It is easy to avoid an
unsatisfactory vendor - there are many others to choose from. Clearly, if it was not
already obvious, any organisation should be highly motivated to make certain its
customers are satisfied. Yet, in practice, remarkably few do so!
92
Satisfaction Surveys
It is essential that an organisation monitors the satisfaction level of its customers.
This may be, all else failing, at the global level; as measured by market research.
Preferably, though, it should be at the level of the individuals or groups - especially
where this is easy to achieve in the case of e-commerce, by simply asking
customers, after they have used the service, how satisfied they are. IBM, at the peak
of its success, every year conducted a survey of all its direct customers. The results
were not just analysed to produce overall satisfaction indices, though that was done
(and senior management viewed any deterioration with alarm), but they were also
provided to field management so that they could rectify any individual problem
situations - where the customer was dissatisfied with any aspect of the IBM service
and the IBM representative (presumably in 97% of the occasions if the above
results - of the numbers who do not complain - hold true in this field) did not realise
this to be the case! Much the same can be done with individual e-commerce
customers - something which is much more difficult in conventional marketing.
There are a number of advantages to conducting satisfaction surveys (particularly
where any individual problems highlighted can be subsequently dealt with) for e-
commerce as much as in traditional markets:
Like complaints, they indicate where problems lie; for rectification
If they cover all customers, they allow the 97% of non-complainers to communicate
their feelings; and vent their anger They positively show, even the satisfied
customers, that their supplier is interested in the customer, and their complaints -
which is at least half way to satisfying those complainants They help persuade the
supplier's staff to take customer service more seriously. The only difference with e-
commerce is that the process should be much easier to undertake. The importance
of very high standards of customer service is evidenced by two examples. The
93
marketing philosophy of McDonalds, the world's largest food service organisation,
is encapsulated in its motto "Q.S.C.& V." (Quality, Service, Cleanliness & Value).
The standards, enforced somewhat quixotically (but memorably) on its franchisees
and managers at the 'Hamburger University' in Elk Grove Village (Illinois), require
that the customer receive a 'good tasting' hamburger in no more than five minutes,
from a friendly host or hostess; in a spotlessly clean restaurant. The second
example, Disneyland, also insists on spotless cleanliness, and on the customer being
'The Guest'. It is salutary to observe how few of the competitors in either of these
fields manage the simple task of keeping their premises clean, let alone being able
to think of their customers as 'guests'; where the terms used in the fairground trade
(with which Disney competes, albeit at a very different level) usually see the
customer as some form of victim ('pigeon', 'mark', 'punter' etc) - to be fleeced before
the fair moves on! E-commerce pioneers, with the important exception of Amazon,
unfortunately seem to be following the latter path!
9. The Call Centre,
Customer satisfaction and loyalty have become key objectives for organizations as
they recognize that long-term customers cost less to service and are more likely to
spend more with the organization. The call center is the place where many of these
objectives are carried out -- one contact at a time.
Customers are more and more important. We can observe a transition from
increasing market share to increasing customer share. Every new technology
makes it easier for customers to change the suppliers. Hence, competition amongst
suppliers increases. They are forced to exploit new ideas and solutions to gain
customers. The call centre is a centralized office used for the purpose of receiving
and transmitting a large volume of requests by telephone. A call centre is operated
94
by a company to administer incoming product support or information inquiries from
consumers. Outgoing calls for telemarketing, clientele, and debt collection are also
made. In addition to a call centre, collective handling of letters, faxes, and e-mails
at one location is known as a contact centre.
A call centre is often operated through an extensive open workspace, with work
stations that include a computer, a telephone set/headset connected to a telecom
switch, and one or more supervisor stations. It can be independently operated or
networked with additional centres, often linked to a corporate computer network,
including mainframes, microcomputers and LANs. Increasingly, the voice and data
pathways into the centre are linked through a set of new technologies called
computer telephony integration (CTI).
Most major businesses use call centres to interact with their customers. Examples
include utility companies, mail order catalogue firms, and customer support for
computer hardware and software. Some businesses even service internal functions
through call centres. Examples of this include help desks and sales support.
Mathematical theory
A call centre can be viewed, from an operational point of view, as a queueing
network. The simplest call centre, consisting of a single type of customers and
statistically-identical servers, can be viewed as a single-queue. Queueing theory is a
branch of mathematics in which models of such queueing systems have been
developed. These models, in turn, are used to support work force planning and
management, for example by helping answer the following common staffing-
question: given a service-level, as determined by management, what is the least
number of telephone agents that is required to achieve it. (Prevalent examples of
service levels are: at least 80% of the callers are answered within 20 seconds; or, no
95
more that 3% of the customers hang-up, due to their impatience, before being
served.)
Queueing models also provide qualitative insight, for example identifying the
circumstances under which economies of scale prevail, namely that a single large
call centre is more effective at answering calls than several (distributed) smaller
ones; or that cross-selling is beneficial; or that a call centre should be quality-driven
or efficiency-driven or, most likely, both Quality and Efficiency Driven
(abbreviated to QED). Recently, queueing models have also been used for planning
and operating skills-based-routing of calls within a call centre, which entails the
analysis of systems with multi-type customers and multi-skilled agents. Call centre
operations have been supported by mathematical models beyond queueing, with
operations research, which considers a wide range of optimization problems, being
very relevant. For example, for forecasting of calls, for determining shift-structures,
and even for analyzing customers' impatience while waiting to be served by an
agent.
Accommodation
The centralization of call management aims to improve a company's operations and
reduce costs, while providing a standardized, streamlined, uniform service for
consumers, making this approach ideal for large companies with extensive customer
support needs. To accommodate for such a large customer base, large warehouses
are often converted to office space to host all call centre operations under one roof.
Centralised offices mean that large numbers of workers can be managed and
controlled by a relatively small number of managers and support staff. They are
often supported by computer technology that manages, measures and monitors the
performance and activities of the workers. Call centre staff are closely monitored
for quality control, level of proficiency, and customer service. Typical contact
96
centre operations focus on the discipline areas of workforce management, queue
management, quality monitoring, and reporting. Reporting in a call centre can be
further broken down into real time reporting and historical reporting. The types of
information collected for a group of call centre agents typically include: agents
logged in, agents ready to take calls, agents available to take calls, agents in wrap up
mode, average call duration, average call duration including wrap-up time, longest
duration agent available, longest duration call in queue, number of calls in queue,
number of calls offered, number of calls abandoned, average speed to answer,
average speed to abandoned and service level, calculated by the percentage of calls
answered in under a certain time period.
Many call centres use workforce management software, which is software that uses
historical information coupled with projected need to generate automated schedules.
This aims to provide adequate staffing skilled enough to assist callers. The
relatively high cost of personnel and worker inefficiency accounts for the majority
of call centre operating expenses, influencing outsourcing in the call centre
industry. Inadequate computer systems can mean staff take one or two seconds
longer than necessary to process a transaction. This can often be quantified in staff
cost terms. This is often used as a driving factor in any business case to justify a
complete system upgrade or replacement. For several factors, including the
efficiency of the call centre, the level of computer and telecom support that may be
adequate for staff in a typical branch office may prove totally inadequate in a call
centre.
Technology
Call Centres use a wide variety of different technologies to allow them to manage
the large volumes of work that need to be managed by the call centre. These
97
technologies ensure that agents are kept as productive as possible, and that calls are
queued and processed as quickly as possible, resulting in good levels of service.
These include ;
ACD (automatic call distribution)
? Agent performance analytics
? BTTC (best time to call)/ Outbound call optimization
IVR (interactive voice response)
Guided Speech IVR
CTI (computer telephony integration)
Enterprise Campaign Management
Outbound predictive dialer
CRM (customer relationship management)
CIM (customer interaction management) solutions (Also known as 'Unified'
solutions)
? Email Management
? Chat and Web Collaboration
? Desktop Scripting Solutions
? Outsourcing
Third Party Verification (Third party verification)
TTS (text to speech)
WFM (workforce management)
Virtual queuing
Voice analysis
Voice recognition
Voicemail
98
? Voice recording
VoIP
Speech Analytics
Call centre dynamics
Types of calls are often divided into outbound and inbound. Inbound calls are calls
that are made by the consumer to obtain information, report a malfunction, or ask
for help. These calls are substantially different from outbound calls, where agents
place calls to potential customers mostly with intentions of selling or service to the
individual. Call centre staff are often organized into a multi-tier support system for
a more efficient handling of calls. The first tier in such a model consists of
operators, who direct inquiries to the appropriate department and provide general
directory information. If a caller requires more assistance, the call is forwarded to
the second tier, where most issues can be resolved. In some cases, there may be
three or more tiers of support staff. If a caller requires more assistance, the caller is
forwarded to the third tier of support; typically the third tier of support is formed by
product engineers/developers or highly-skilled technical support staff of the
product.
Management of call centres
Management of call centres involves balancing the requirements of cost
effectiveness and service. Callers do not wish to wait in exorbitantly long queues
until they can be helped and so management must provide sufficient staff and
inbound capacity to ensure that the quality of service is maintained. However, staff
costs generally form more than half the cost of running a call centre and so
management must minimise the number of staff present.
To perform this balancing act, call centre managers make use of demand estimation,
Telecommunication forecasting and dimensioning techniques to determine the level
99
of staff required at any time. Managers must take into account staff tea and lunch
breaks and must determine the number of agents required on duty at any one time..
Forecasting demand
Forecasting results are vital in making management decisions in call centres.
Forecasting methods rely on data acquired from various sources including historical
data, trend data and so on. Forecasting methods must predict the traffic intensity within
the call centre in quarter-hour increments and these results must be converted to
staffing rosters. Special attention must be paid to the busy hour. Forecasting methods
must be used to pre-empt a situation where equipment needs to be upgraded as traffic
intensity has exceeded the maximum capacity of the call centre.
Call centre performance
There are many standard traffic measurements (performance metrics) that can be
performed on a call centre to determine its performance levels. However, the most
important performance measures are:
? The average delay a caller may experience whilst waiting in a queue
? The mean conversation time, otherwise referred to as Average Talk Time
(ATT)
? The mean dealing time, otherwise referred to as Average Handling Time
(AHT - equal to ATT plus wrap-up and/or hold time)
? The percentage of calls answered within a determined time frame (referred
to as a Service Level or SL%)
? The number of calls / inquiries per hour an agent handles (CPH or IPH).
? The amount of time spent while an agent processes customer requests while
not speaking to a customer (referred to as Not Ready time/NR, or After Call
Work/ACW, or Wrap-Up.)
100
? The percentage of calls which completely resolve the customer's issue (if the
customer does not call back about the same problem for a certain period of
time, it is considered a successful resolution or FCR - First Call Resolution).
? The percentage of calls where a customer hangs up or "abandons" the call is
often referred to as Total Calls Abandoned or Percentage of calls
abandoned. Calls are often abandoned due to long hold times when a call
centre experiences a high call volume.
? Percentage of time agents spend not ready to take calls, often referred to as
Idle Time.
? Quality Assurance monitored by a quality assurance (QA) team.
Refinements of call centres
There are many refinements to the generic call centre model. Each refinement helps
increase the efficiency of the call centre thereby allowing management to make
better decisions involving economy and service.
The following list contains some examples of call centre refinements:
Predictive Dialling ? Computer software attempts to predict the time taken for an
agent to help a caller. The software begins dialling another caller before the agent
has finished the previous call. This, because not every call will be connected (think
of busy or not answered calls) and also because of the time it takes to set up the call
(usually around 20 seconds before someone answers). Frequently, predictive dialers
will dial more callers than there are agents, counting on the fact that not every line
will be answered. When the line is answered and no agent is available, it is held in a
retention queue for a short while. When still no agent has become available, the call
is hung up and classified as a nuisance call. The next time the client is called an
agent will be reserved for the caller.
101
Multi-Skilled Staff ? In any call centre, there will be members of staff that will be
more skilled in areas than others. An 'Interactive Voice Response' (IVR) Unit can
be used to allow the caller to select the reason for his call. Management software,
called an Automatic Call Distributor, must then be used to route calls to the
appropriate agent. Alternatively, it has been found that a mix of general and
specialist agent creates a good balance.
Prioritisation of Callers ? Classification of callers according to priority is a very
important refinement. Emergency calls or callers that are reattempting to contact a
call centre are examples of callers that could be given a higher priority.
Automatic Number Identification ? This allows agents to determine who is calling
before they answer the call. Greeting a caller by name and obtaining his/her
information in advance adds to the quality of service and helps decrease the
conversation time.
Additional issues in call centres
There are many other issues that have to be planned for when managing a call
centre. A few of these issues are listed below:
? Call Center Noise Hazards
? Planning for failure of equipment
? Need for flexibility in meal-times
? Need for job variety and training
? Job exhaustion and stress
? Staff turnover (high attrition rates are common in the call centre industry)
? Call Center Noise Hazards Place Operators at Risk
Many employers are unaware of the hazard of acoustic shock, despite the
fact that up to 300,000 victims have been paid over $15 million worldwide.
102
? Acoustic shock is a sudden spike of noise; a hazard faced by 1 million call
center operators. It can lead to physical problems such as tinnitus, and
emotional problems, such as anxiety and depression.
Variations on the generic call centre model
The various components in a call centre discussed in the previous sections are the
generic form of a call centre. There are many variations on the model developed
above. A few of the variations are listed below:
Remote Agents ? An alternative to housing all agents in a central facility is to use
remote agents. These agents work from home and use a Basic Rate ISDN access
line to communicate with a central computing platform. Remote agents are more
cost effective as they don`t have to travel to work, however the call centre must still
cover the cost of the ISDN line. VOIP technology can also be used to remove the
need for the ISDN, although the desktop application being used needs to be web
enabled or VPN is used.
Temporary Agents ? Temporary agents are useful as they can be called upon if
demand increases more rapidly than planned. They are offered a certain number of
quarter hours a month. They are paid for the amount they actually work, and the
difference between the amount offered and the amount guaranteed is also paid.
Managers must use forecasting methods to determine the number of hours offered
so that the difference is minimised.
Virtual Call Centres ? Virtual Call Centres are created using many smaller centres
in different locations and connecting them to one another. The advantage of virtual
call centres is that they improve service levels, provide emergency backup and
enable extended operating hours over isolated call centres. There are two methods
used to route traffic around call centres: pre-delivery and post-delivery. Pre-delivery
involves using an external switch to route the calls to the appropriate centre and
103
post-delivery enables call centres to route a call they`ve received to another call
centre.
Interaction Centres ? As call centres evolve and deal with more media than
telephony alone, some have taken to the term, "interaction centre". Email, Web
Callback and more are gradually being added to the role.
Criticism of call centres
Criticisms of call centres generally follow a number of common themes:
From Callers:
? operators working from a script.
? non-expert operators (call screening).
? incompetent or untrained operators incapable of processing customers'
requests effectively.
? overseas location, with language and accent problems.
? automated queuing systems.
? close scrutiny by management (e.g. frequent random eavesdropping on
operator's calls).
? low pay.
? restrictive working practices (e.g. there isn't much space for personal
creativity since many operators are required to follow a pre-written script).
? high stress: a common problem associated with front-end jobs where
employees deal directly with customers.
? poor working conditions (e.g. poor facilities, poor maintenance and
cleaning, cramped working conditions, management interference)
As detailed above, none of these are inherent in the call centre model, although
many companies will experience some or all of the above while implementing a call
104
centre approach. As the science suggests, done properly, a call centre can offer the
quickest route to resolution of customer queries, capitalising on the ready
availability of highly skilled and intelligent people in some areas.
10 Call Scripting
Advanced Call Scripting guides members of the sales and service teams through
their interactions with customers. The result is improved lead conversion rates,
increased customer satisfaction, and reduced training time. Sales reps use call
scripts created with software applications to help qualify leads and position
products correctly. Customer service reps use them to troubleshoot issues, ensure
cases are categorized correctly, and cross-sell to customers.
With Advanced Call Scripting, the organization can develop branching scripts that
display relevant follow-up questions based on how customers answer questions. It
can also include tips on how to ask and answer questions when communicating with
customers. An integrated scoring engine can contribute to improved lead quality by
helping executives determine whether a lead is qualified. The executives can launch
call scripts from several objects, including leads, opportunities, cases, contacts, and
accounts. To simplify time-consuming data entry tasks, scripts can be configured to
store the responses they receive in fields on these objects.
Consistency of the caller experience is a key, but often illusive, component of call
center quality. In the past, call centers focused on extensive agent training, ongoing
call monitoring, and regular employee evaluations as a means to enforce
consistency from one call to the next and one agent to another. Unfortunately, all
too often, these efforts fell short of the desired goal, leaving both agents and
management frustrated and anxious. However, when the call flow can be
programmed, or scripted, for the agent, this lofty ambition of consistency is much
105
easier to achieve and maintain. In essence, if the call control can be embedded into
the call processing system, consistency is the welcome byproduct. Pre-planning a
call via scripting will not negate the need for agent training, monitoring, and
evaluation, but it will make those efforts simultaneously more effective and less
needful.
Advanced software allows call centers to handle the high expectations of today`s
clients who demand fewer errors and more sophisticated message processing.
Intelligent Messaging guides the agent through each step of taking a call, gathering
information from callers and then quickly dispatching that information to clients.
The benefits include:
? Reduced agent errors
? Simplified difficult account call handling
? Agents guided through each step of message handling
? Simplified appointment taking, order entry, or brochure requests
? Customized look and feel of each script
The Web-based scripts make it easy for agents to handle detailed calls to schedule
appointments, classes, or seminars and to take orders. The voice-based scripts use
IVR (Interactive Voice Response) system to create automated voice applications.
Empower customer service, telesales and 3rd party vendors with customizable call
scripts. Make sure that the agents are asking the most appropriate questions at the
right time using customized workflow. Information captured on the call is collected
directly, ensuring high-quality data and more effective calls outcomes.
Benefits of Call Scripting:
? Reduces agent training time
? Drop-down choices change dynamically based on customer response
? Supports personalized interactions based on existing record data
106
? Facilitates up-selling and cross-selling
? No third-party software required
11. Customer Satisfaction Measurement.
Customer satisfaction is the customer's perception that a supplier has
completely satisfied their expectations.
Why Measure Customer Satisfaction ?
The average business loses between 10% and 30% of its customers each year,
often without knowing:
? Which customers they have lost
? When they were lost
? Why there were lost
? How much sales and profit customer decay has cost them
Research has demonstrated conclusively that it is far more costly to win a new
customer than it is to maintain an existing one. The most powerful reason for doing
anything in business is that it will increase profitability Measure customer
satisfaction, and acting appropriately on the results, will increase profitability
? NOT taking action allows your customer base to decay while permitting
your competition to gain market share
Consider these statistics:
? Only 4% of all customers with problems complain
? The average person with a problem eventually tells 9 other people
? Satisfied customers tell 5 other people about their good treatment
? Cost of acquiring a new customer is 5 to 7 times greater than retaining
current ones
107
? Cost of hiring and training a new employee is up to 10 times greater than
retaining current ones
Your customer's perception of the value of your company provides is based on
the following attribute foundation:
? Organizational
? Product
? Service
? Future behaviour
Design and Use of a CSM Program
The typical CSM (Customer Satisfaction measurement) program would be
having the following steps -
1. Defining the objectives
? Identify customer's priorities
? Learn customer's tolerance band
? Receive first-hand input on your company's performance
? Obtain performance ratings relative to your customer's priorities
? Learn performance ratings relative to your competitors' performance
? Establish priorities for improvement
2. Develop the Research Design
? Research design flows directly from the stated objectives
? Must be developed to ensure reliability
? Ability to provide consistent results
? Measures the original intent
? Eliminates bias
? Meaningful questions to the customer
108
3. Questionnaire Design
? Product attributes
? Service attributes
? Organizational attributes
? Future behavior attributes
? Benefits of Satisfaction Surveys
4. Improve customer, client, or employee loyalty
? React quickly to changes in the market
? Identify and capitalize on opportunities
? Beat the competition
True "customer satisfaction" is an organization's ability to attract & retain
customers and enhance the customer relationship over time. It is not simple and the
answer cannot be collapsed into a single "customer satisfaction index." Every
interaction a customer has with a company`s products & services is a reflection on
quality.
Customer satisfaction measurement (CSM) is a management information system
that continuously captures the voice of the customer through the assessment of
performance from the customer's point of view. This information provides a
platform for the strategic alignment of organizational resources to deliver whatever
is most important to customers. Customer satisfaction measurement is an evolving
tool that is moving beyond early, basic measures of satisfaction toward approaches
that enable a business to compete more effectively in its targeted market.
Simple approaches to assessing customer satisfaction fail to measure -
1. Perceptions of non-customers
109
Tracking "market satisfaction" requires input from non-customers as well as
customers.
2. Performance relative to competitors
Customers judge your product/service offering relative to offerings of your key
competitors. If your performance is improving, but your competitors are improving
faster, your relative perceived quality would actually decline.
? Seek out features that are both unique and worth a lot to customers
? Differentiate their product/service offerings to meet differing segment needs
better than their competitors
? Actively communicate these benefits, building a conviction by the customer
that they are better off continuing their relationship
? In contrast, market-perceived quality versus competitors involves a dramatic
shift in focus -- from satisfying your current customers to beating
competitors through customer value management. Firms that succeed in
holding onto their customer relationships:
True customer value management entails integration of total quality management
with the company`s classic management systems (strategic planning, budgeting &
control, capital investment, competitive analysis, performance measures & reward)
to ensure that companies enter and invest only in businesses where they can be
quality & value leaders.
The payoff from customer satisfaction measurement comes from its ability to define
& direct a company`s quality improvement efforts, and its quality/value position in
the marketplace. Customer satisfaction measurement and quality impact profits by:
? Reducing costs
? Preventing erosion in revenues over time
? Increasing market share
110
? Increasing gross margins
The loyalty business model is a business model used in strategic management in
which company resources are employed so as to increase the loyalty of customers
and other stakeholders in the expectation that corporate objectives will be met or
surpassed. A typical example of this type of model is: quality of product or service
leads to customer satisfaction, which leads to customer loyalty, which leads to
profitability.
The service quality model
A model by Kay Storbacka, Tore Strandvik, and Christian Gronroos (1994), the
service quality model, is more detailed than the basic loyalty business mode but
arrives at the same conclusion. In it, customer satisfaction is first based on a recent
experience of the product or service. This assessment depends on prior expectations
of overall quality compared to the actual performance received. If the recent
experience exceeds prior expectations, customer satisfaction is likely to be high.
Customer satisfaction can also be high even with mediocre performance quality if
the customer's expectations are low, or if the performance provides value (that is, it
is priced low to reflect the mediocre quality). Likewise, a customer can be
dissatisfied with the service encounter and still perceive the overall quality to be
good. This occurs when a quality service is priced very high and the transaction
provides little value.
This model then looks at the strength of the business relationship; it proposes that
this strength is determined by the level of satisfaction with recent experience,
overall perceptions of quality, customer commitment to the relationship, and bonds
between the parties. Customers are said to have a "zone of tolerance" corresponding
to a range of service quality between "barely adequate" and "exceptional." A single
disappointing experience may not significantly reduce the strength of the business
111
relationship if the customer's overall perception of quality remains high, if
switching costs are high, if there are few satisfactory alternatives, if they are
committed to the relationship, and if there are bonds keeping them in the
relationship. The existence of these bonds acts as an exit barrier. There are several
types of bonds, including: legal bonds (contracts), technological bonds (shared
technology), economic bonds (dependence), knowledge bonds, social bonds,
cultural or ethnic bonds, idiological bonds, psychological bonds, geographical
bonds, time bonds, and planning bonds.
This model then examines the link between relationship strength and customer
loyalty. Customer loyalty is determined by three factors: relationship strength,
perceived alternatives and critical episodes. The relationship can terminate if: 1) the
customer moves away from the company's service area, 2) the customer no longer
has a need for the company's products or services, 3) more suitable alternative
providers become available, 4) the relationship strength has weakened, or 5) the
company handles a critical episode poorly.
The final link in the model is the effect of customer loyalty on profitability. The
fundamental assumption of all the loyalty models is that keeping existing customers
is less expensive than acquiring new ones. It is claimed by Reichheld and Sasser
(1990) that a 5% improvement in customer retention can cause an increase in
profitability between 25% and 85% (in terms of net present value) depending upon
the industry. However, Carrol and Reichheld (1992) dispute these calculations,
claiming that they result from faulty cross-sectional analysis.
According to Buchanan and Gilles (1990), the increased profitability associated
with customer retention efforts occurs beceause: The cost of acquisition occurs only
at the beginning of a relationship: the longer the relationship, the lower the
amortized cost. Account maintenance costs decline as a percentage of total costs (or
112
as a percentage of revenue). Long term customers tend to be less inclined to switch
and also tend to be less price sensitive. This can result in stable unit sales volume
and increases in dollar-sales volume.
Long term customers may initiate free word of mouth promotions and referrals.
Long term customers are more likely to purchase ancillary products and high-
margin supplemental products.
Long term customers tend to be satisfied with their relationship with the company
and are less likely to switch to competitors, making market entry or competitors'
market share gains difficult.
Regular customers tend to be less expensive to service because they are familiar
with the processes involved, require less "education," and are consistent in their
order placement.
Increased customer retention and loyalty makes the employees' jobs easier and
more satisfying. In turn, happy employees feed back into higher customer
satisfaction in a virtuous circle.
For this final link to hold, the relationship must be profitable. Striving to maintain
the loyalty of unprofitable customers is not a viable business model. That is why it
is important to for marketers to assess the profitability of each of its clients (or types
of clients), and terminate those relationships that are not profitable. In order to do
this, each customer's "relationship costs" are compared to their "relationship
revenue." A useful calculation for this is the patronage concentration ratio. This
calculation is hindered by the difficulty in allocating costs to individual
relationships and the ambiguity regarding relationship cost drivers.
Expanded models
Virtuous Circle
113
Schlesinger and Heskett (1991) added employee loyalty to the basic customer
loyalty model. They developed the concepts of "cycle of success" and "cycle of
failure". In the cycle of success, an investment in your employees` ability to provide
superior service to customers can be seen as a virtuous circle. Effort spent in
selecting and training employees and creating a corporate culture in which they are
empowered can lead to increased employee satisfaction and employee competence.
This will likely result in superior service delivery and customer satisfaction. This in
turn will create customer loyalty, improved sales levels, and higher profit margins.
Some of these profits can be reinvested in employee development thereby initiating
another iteration of a virtuous cycle.
Fredrick Reichheld (1996) expanded the loyalty business model beyond customers
and employees. He looked at the benefits of obtaining the loyalty of suppliers,
employees, bankers, customers, distributors, shareholders, and the board of
directors.
Questions ?
1. Explain the concept of one to one marketing?
2. What is cross selling? How can a company use it to the best advantage?
3. List down & explain the methods of cross selling.
4. How will customer retention help the organisation to be more profitable?
5. Expalain the concept & methods of call scripting.
6. What is CSM? How is it oimportant for modern organisations?
7. How can an organisation use event marketing to the best advantage?
8. What are the important aspects of CRM that will help managers in
running the organisation more efficiently?
9. What is customer value modelling? Expalin?
10. Explain how behavour prediction can increase sales revenues?
114
UNIT III ? LESSON I
INTRODUCTION :
Before getting to know about Sales force automation we need to know first what a
sales process is . A sales process is a systematic methodology for performing
product or service sales. The reasons for having a sales process include seller and
buyer risk management, achieving standardized customer interaction in sales and
scalable revenue generation.
Specific steps in sales processes vary from company to company but generally
include the following steps:
1. Sales lead
2. Qualified prospect
3. Need identification
4. Closing
5. Deal Transaction
From a seller's point of view, a sales process mediates risk by stage-gating deals
based on collection of information or execution of procedures that gate movement
to the next step. This controls seller resource expenditure on non-performing deals.
Ideally this also prevents buyers from purchasing products they don't need though
such a benefit requires ethical intentions by the seller. Because of the uncertainty of
this assurance, buyers often have a buying or purchasing process.
Sales processes are generally more common for companies that either have large
revenue risks that require systematic assurance of revenue generation and/or those
115
that choose to use a more consultative sales approach (e.g. Saturn, IBM, Hewlett-
Packard).
Strictly even an effective ad hoc or retail sales process can be described by steps of
an ideal sales process though some of the steps may be executed quickly. Often a
bad sales experience can be analyzed and shown to have skipped key steps. This is
where a good sales processes mediate risk for both buyer and seller.
Many companies develop their own sales process; however, off the shelf versions
are available from companies such as Huthwaite International and Miller Heiman.
These provide a customisable process and a set of electronic tools that can be
freestanding or can be integrated if required with the company's CRM or
opportunity management system
Sales Process Management
Sales process management includes all the tasks associated with finding sales
opportunities and closing deals. This includes:
? Prospecting and qualifying leads.
? Managing contacts, opportunities, and accounts.
? Tracing the stages of deal closure and its related probabilities, including
the variable compensations directly or indirectly related to closing deals.
? Managing and tracking communications between salespeople
and customers, such as conducting direct e-mail campaigns.
? Maintaining a database of product information in a format that`s easy for the
sales force to access, either online in the office or offline at a customer site.
116
Forms of Sale Activity
The term sales is includes many activities some of the various modes of
selling include:
? Direct Sales - involving face-to-face contact
1. Retail or consumer
2. Door-to-door or travelling salesman
3. Party plan
? Industrial/Professional Sales - selling from one business to another
1.
Business-to-business
? Indirect - human-mediated but with indirect contact
1. Telemarketing or telesales
2. Mail-order
? Electronic
1. web B2B, B2C
2. EDI
? Agency-based
1. consignment
2. multi-level marketing
3. sales agents (real estate, manufacturing)
Types of sales include:
117
? Transaction sales
? Consultative sales
Complex sales
ACTIVITY :
1. What do you mean by a Sales process? What are the forms of a
sales activity?
_______________________________________________________
_______________________________________________________
_______________________________________________________
_______________________________________________________
____________________
Sales Force Automation
In today`s global marketplace, organizations are fiercely competing for customers.
Increasingly, technology is playing an ever important role in the acquisition,
service and
retention of customers. Within the broader landscape of strategic information
management, sales related technology is being utilized by executives aiming to
improve
sales processes and achieve higher revenues. To this end, there is a growing
concentration on sales performance metrics in an attempt to meet corporate growth
118
targets. Sales Force Automation (SFA) systems have become the backbone
for many
sales organizations. The adoption rate of these systems has grown significantly
over the
last five years, and they are considered an immediate competitive necessity
rather than a
future luxury. Even in the face of 55-75% implementation failure rates ;
organizations still look to these systems to satisfy their burning need to improve
their internal customer information systems and sales processes in order to
increase their external competitiveness.
The origin of SFA can be traced back to the original personal computers adopted by
salespeople in the early 1980`s to perform basic transaction processes . Towards the
end of the decade, microcomputer applications were introduced and were touted as
increasing the learning curve` of salespeople in helping them correctly identify
customers and execute sales methods . Soon after these applications were
introduced salespeople saw the introduction of mobile communication devices such
as mobile phones and pagers. It was not until the early 1990s that the sales force
caught up with the rest of the organization and finally started to embed IT into its
operations at the organizational,
individual and team level.
SFA Definition
There is a wide spectrum of sales and IT related activities that are considered part of
119
SFA. Although there is no universal definition, is the most commonly used, sales
force automation involves converting manual sales activities to electronic processes
through the use of various combinations of hardware and software applications.
This paper will use this definition as the framework to review previous research
and to orientate the proposed methodology.
Organisational level:
The underpinning question that organizational level analysis aims to answer
is whether
there are any organizational benefits from SFA, and if there are what are they
and how
are they achieved and maintained?. First, it empirically found a positive
relationship between the functional breadths of the SFA buying committee and
overall organizational system benefits. Additionally, firms that had the combined
intent to improve both operational efficiency and to establish a strategic
competitive edge proved
to have greater pay-off than simply those who aimed to automate manual
selling tasks.
These findings further contributed to SFA research and presented the question of
economically quantifying SFA facilitated improvements. Improving an
organization`s efficiencies` was the overriding factor behind initiating SFA
projects. Paradoxically, the majority of respondents could not expand on improved
efficiencies` when asked to do so. Suggestions for future work shifted towards
investigating post-implementation situations and field sales representatives`
experience relative to their performance. Considering these two important studies,
we can see that the SFA research focus quickly encompassed a wide array of topics.
120
The most recent organizational study evaluated the distance between management
and the sales force in terms of their respective perceptions of SFA planning,
communication and evaluation. The study highlights the difference in opinion of
these two groups in regard to SFA trade-offs and benefits. Although both had the
same goal of increased efficiency, both projected different effects from the system.
Management sought increased sales with less sales people versus the sales
person`s view
to increase individual sales through activity automation. This dichotomy of
intended benefits can often be attributed to a multitude of individual level analysis
factors which
influence SFA adoption and utilization.
Individual Level
SFA research at the individual level has become a multi-dimensional research area.
There
are many variables which can affect the maximization of the system and sales
performance. The highest sales producers were those that rated high` on
acceptance positive attitude towards new technology and also in number of years of
experience. Overall, a strong connection between the salesperson`s attitude type
towards using new technology in the day-day activities and years of experience in
relation to sales success existed. A study investigated attitude factors that impacted
levels of SFA infusion.` Infusion` was defined as the extent to which the
salesperson fully utilizes
SFA to enhance her productivity. The factors reviewed included: personal
innovativeness, perceived usefulness, attitude toward new system, compatibility
with current system, facilitating conditions, subjective norms and ease of use. The
121
relationship of these factors was mapped to dependent outcomes of levels of
intention to use` and infusion of use` of the new SFA system. The two key results
of this work were important managerial considerations. The findings indicated that
salesperson attitude concerning the new systems usefulness in their role and
compatibility with current system had a large bearing on the adoption rate. It was
found that the level of infusion positively correlated with the level of facilitating
conditions` such as training and support provided by the organization. Although the
idea of infusion`, thus, establishing a new desired benchmark for SFA utilization,
they failed to qualify or discuss the timing of their post-implementation data
sample. The data was collected just six months after implementation. The author of
this paper suggests that their findings could have offered greater insights by
comparing the responses after a twelve or twentyfour month interval, therefore,
adding to the limited longitudinal analysis in this area. Only after such time would
sales people have been able to benefit from training and infused` SFA into their
daily work translating to higher levels of efficiency and performance.
Implementation Success vs. Failure ? what makes the difference?
Successful SFA implementation and adoption can depend on several core activities.
Recent research has further cemented the importance of training and salesperson
involvement in the decision-implementation planning. Another important variable is
genuine projections from management on the system`s impact on the salesperson`s day
day operations. This is directly related to the first step of adoption model: managerial
communication. Equally as important as understanding why some firms succeed in
SFA implementation, is to understand why others fail. A recent study offered valuable
insights into how not to manage SFA. The authors investigated
122
SFA adoption through the identity theory` framework. Logically, sales-people are
often more autonomous than other members of the enterprise. As such, they react
differently to organizational changes such as SFA. Suitably, the focus on specific
elements that make up the salesperson`s identity` which contribute to and are
impacted by their level of adoption. The authors investigated the relationships
between individual perceptions of technology (comprised of individual traits,
disposition toward technology, role perception and organization characteristics) and
their professional state on the person-technology fit and measured to the extent to
which these relationships influenced both subjective (such as job satisfaction) and
the objective (for example salesperson retention) Alarmingly, the results indicated
that initial enthusiasm and adoption of the system quickly decreased following the
initial training and implementation and ultimately resulted in increased rejection of
the system by the sale force. Their analysis highlighted the fact that if SFA is not
supported in an ongoing manner, it can lead to low levels of person-technology
fit.` This in turn can lead to wider organizational problems such as poor job
satisfaction and ultimately salesperson turnover. This critical business problem is
one that requires analysis at the organizational, individual and team level.
The discussion above suggests that SFA does not sustain any benefits for field sales
representatives and also poses managerial headaches in terms of cost employee
productivity and morale. However, some suggest otherwise. Increased sales person
productivity is an inherently assumed benefit of SFA, however, there are few
empirical studies to either prove or disprove this assertion. Furthermore, which
areas of sales activities are enhanced by SFA and to what degree? the wide array of
SFA technologies is categorized into categories that primarily reflected their impact
on sales activities: organizing, presenting, reporting, informing, supporting and
processing
123
transactions and communicating. Their robust analysis revealed valuable insights
into
which technologies where being used in the field. The organizing category, more
specifically, contact management, was the overriding category area with the
greatest improvement in efficiency. The second important finding was that an
enhancement in
communication with both clients and the home office greatly increased with
some form
of SFA. The interaction and SFA usage with team members at the home office is
a related issue which should be researched in the future to address team dynamics.
The changing nature of sales roles
Several recent studies have provided a deeper drill-down on the complexities on
SFA
adoption and effectiveness on experienced users of SFA. Their research examined
the technology stressors related to SFA and the level of infusion of SFA into sales
representatives` daily work. In sum, the research quantified that as the complexity
of the sales person`s task to integrate the new technology into the work increased,
the related effort and time they dedicated to this activity decreased. Put simply,
sales people felt overwhelmed with the level of impact SFA changed their
routines and even the nature of their roles . This issue cannot be overlooked or
underestimated in regards to the impact it can have on SFA success. Likewise, the
integration of SFA within broader organization initiatives can have both negative
and positive effects on sales performance.
124
ACTIVITY :
1. Define Sales Force Automation.
2. What is the significance of Sales Force Automation at individual and
organizational level?
3. What factors determine the success or failure in the implementation
of a Sales force Automation process.
________________________________________________________________
_____
Lead Management
Managing leads effectively and optimizing lead flow across sales and marketing
are critical to achieving sales success. With Sales force you can track prospect
inquiries and seamlessly route qualified leads to the right people so sales reps get
instant access to the latest prospects and leads are never dropped or lost.
Lead Management is designed to optimize the initial pre-sales process, freeing
up your sales department to focus on the most valuable prospects and
opportunities. For a given marketing campaign, you may wish to generate
leads for certain business partners within a target group. You use leads to
qualify the level of interest presented by these business partners, with a view to
transforming them into opportunities. Both customers and prospects can be
considered as leads. For example, an existing customer may be a lead for a new
project you are working on.
125
This scenario addresses the following business challenges:
Leads are wasted if they are not delivered to the right person at the right
time. Organizations struggle with the ability to get leads to the right
person in a timely manner
Good leads are often overlooked, while time is wasted following up on
poor leads. There is no ability to incorporate a corporate standard in the
qualification process to ensure quality and timeliness of follow-up
There is no standardization of surveys, or capabilities to easily
create centralized surveys
Having quality leads is imperative to ensuring success with the
leads. Duplication of leads, causes wasted time and money
Organizations have not visibility into the lead process, and have no ability
to make adjustments to ensure success
No visibility into the Lead Management process, no idea how many leads,
number qualified, conversion rates, where each lead is in the process, etc.
The lead process is directly tied to ROI, most companies have no
understanding of the impact of leads and lead conversions to ROI
BENEFITS:
? Prevent leads from falling through the cracks
? Improve responsiveness to prospect inquiries
? Standardize lead qualification best practices
? Increase lead conversion rates
126
? Build distinct lead management processes for distinct groups
? Get the most from your marketing spend
? Optimize lead flow from capture to close
? Set security controls to ensure teams or partners can access only their
own leads
Ways for Improving Your Lead Management Process:
If you're looking for ways to increase revenue, one of the fundamental processes
you need to review is your lead management program. Prospect leads can
originate in a variety of ways, and there is often only a very loose structure in
place to manage and react to those leads. Your sales pipeline and your ability to
hit revenue targets all begin with good lead management. Try these eleven
strategies for improving your lead management efforts.
Develop a concrete definition of a lead and make sure all employees
understand it.
One of the biggest disconnects between sales and the rest of the company is the
definition of a lead. When does a prospect become a lead that a salesperson will
actually work on? It's estimated that 90 percent of the leads that are sent to sales
staff are never acted upon. And there are generally two primary reasons for that.
First, the lead is routed to the wrong person and never gets passed along to the
correct person or at least not in a timely fashion. Second, the lead isn't ready to
engage with a salesperson yet. So the sales person will make one, maybe two
contacts with that prospect and then move on to "lower hanging fruit." For better
127
sales effectiveness, your sales staff and the rest of the company need a more
granular definition of when a prospect becomes an actual lead that should
be forwarded to sales.
2. Install an effective sales opportunity management solution (we
recommend Prophet!).
For optimal sales effectiveness, you need to provide employees with a tool
that captures information about each and every interaction with your prospects
and customers.
3. Track the source of the lead.
People most often hear about your company and products and services through ads,
referrals, online banner ads or some other form of advertising. You need to keep
track of what actually caused these suspects to raise their hands so you can better
determine what works and what doesn't. In addition, it's important to capture the
source of each intervening event so you can determine such things as how many
times you need to touch a customer or what order of touches work best. If you
don't capture the source, you have no way of figuring out what's working.
4. Distribute your leads quickly.
Studies have shown that if you respond within 48 hours of a prospect contacting
you, your sales closing rate goes up dramatically. Think about your own
experiences. How many times have you tried to contact a company to request
information and they never get back to you? By responding quickly, you set
yourself apart from your competitors. Make sure you track this rate as a key
sales metric.
128
5. Nurture your leads.
Depending on the products and services you offer, most people are probably not
ready to buy based on their first interaction with you. Best practices call for
nurturing your leads over time. You need to develop campaigns that allow you to
touch your prospects multiple times so you can move them through the sales
cycle until they're ready to think about actually purchasing from you.
6. Excite your sales staff about each prospect.
The best salespeople focus on detailed qualifying, and so should the rest of your
staff. The more information you have about a prospect, the more excited your
salespeople will be about the lead. Whoever's collecting prospect information
needs to extract additional information from every prospect with each interaction,
including such things as "what interested you about our products" and "why is it
important to you." They should also try to may the organization so your
salespeople are getting in touch with the decision-makers in each company.
7. "Tag, you're it."
How do you save those interesting bits of information about customers and
prospects? If you tag your records with the names of your competitors on deals,
what their objections are, whether they'll be a referral or not, which products they
already own and so on, you can then find those detail fast in the future. This
allows you to leverage what you learn in order to be more successful.
8. Treat your prospects like customers.
By capturing the source I mentioned above in #2 about each prospect, anyone at
your company can answer a call from that prospect and more effectively answer
129
their questions. This will have a significant impact on your prospects and will
cause them to want to engage with your team further.
9. Measure everything you do.
But in order to measure your results, you need to decide what you want to measure
and why. Then you can capture the correct information upfront. And once you
have the right information, you can determine the return on investment of your
campaigns and focus on the campaigns and prospects that will increase your sales
pipeline.
10. Hold regular meetings with your sales staff and anyone else involved in
the sales process.
You should meet with appropriate staff members on a regular basis to review
lead quality, win/loss records, and tracking CRM systems so you can continue to
improve your sales effectiveness.
11. Preload your database with the right prospects.
Your customers are the first step in prospecting sales leads. Most people think they
already know who their customers are, but many companies tell us they find a few
surprises when they do an analysis of their customer base. So confirm what you know
about your customers. Then, once you know who your customers are, define a
130
few key attributes about them. This could be external attributes such as
geography, SIC code, company size (employee count and revenue), or internal
attributes such as products, territory, credit type and contract type. Now you can
use the profile of your best customers to better define and acquire new prospects.
ACTIVITY :
1. Define Lead Management .
2. What are the benefits of Lead Management
3. Highlight the different ways of improving the lead management process.
___________________________________________________________________
_____
Knowledge Management :
The concept of corporate knowledge is not a novel idea. Today's challenging
business environment requires executing strategy faster, more cheaply and more
effectively to survive in a global business world. Corporations are under constant
pressure to improve performance in every facet of their operations. It is competing
in a shifting landscape. With the growth of the Internet and an increasingly mobile
workforce, leveraging organizational knowledge is not an option - it is an
imperative to succeed in today's competitive landscape. Corporations that have the
foresight to manage their knowledge capital today with an open, scalable and
extensible approach will have an advantage in the future, making it tougher for their
competition to catch up.
"Knowledge management is a differentiating factor for companies today,
providing the difference between being competitive and just dong business."
131
Howard Deane, the National Director of knowledge management at KMPG
"If we only knew what we know, we would be 30 percent more productive."
-- Lewis Platt, CEO Hewlett-Packard (1992-1999)
So effective Knowledge Management is a critical component of any business
strategy. To successfully manage and leverage knowledge and expertise across
global boundaries, companies need to implement knowledge management strategies
that enable them to capture, manipulate, and deploy the information residing in their
environments.
Knowledge management.
KNOWLEDGE:
Knowledge is not static; it evolves. Any knowledge management system must be
able to support the acquisition, analysis, preservation, and reuse of knowledge as a
continual cyclical process.
Knowledge exists in two forms: explicit knowledge that can be codified and tacit
knowledge that cannot always be codified.
Knowledge is a fluid mix of framed experience, values, contextual information, and
expert insight that provides a framework for evaluating and incorporating new
experiences and information. It originates and is applied in the minds of knowers. In
organizations, it often becomes embedded not only in documents or repositories but
also in organizational routines, processes, practices and norms.
Knowledge representation is too formalized; much tacit knowledge will be lost.
Thus knowledge representations for knowledge management systems must be
flexible and discursive.
132
There are various definitions for Knowledge management. Few among them are:
A variety of general and specific technologies for knowledge collection
(e.g., data mining, text summarizing, the use of intelligent agents, and a
variety of information retrieval methodologies), knowledge storage and
retrieval (e.g., knowledge bases and information repositories), and
knowledge dissemination and application (e.g., intranets and internets,
groupware, decision support tools, and collaborative systems).
Knowledge management is a continuing cyclical process with no end, not a
linear one with a single goal. A knowledge management system will
therefore be continually evolving, or learning, and any technology used to
implement it must support evolution and learning. This point is worth
repeating: knowledge management is a continuous ongoing process, not
something to be done only once.
133
A multi-disciplined approach to achieving organizational objectives by
making best use of knowledge. It involves the design, review and
implementation of both social and technological processes to improve the
application of knowledge, in the collective interest of stakeholders
Interim Australian Standard Knowledge Management, 2003
A discipline that promotes an integrated approach to identifying, capturing,
evaluating, retrieving and sharing all of an enterprises information assets
Gartner Group, 1998
Knowledge management involves the acquisition, storage, retrieval,
application, generation, and review of the knowledge assets of an
organization in a controlled way. The knowledge that is to be managed is
that which is critical to the company--that which adds value to your
products or to your services.
Here are some examples:
Knowledge of a particular job, such as how to fix a fault in a piece of
critical manufacturing equipment.
Knowledge of who knows what in a company, who solved a similar
problem last time.
Knowledge of who is best to perform a particular job or task, who
has the latest training or best qualifications in a particular subject.
Knowledge of corporate history--has this process been tried before,
what was the outcome?
Knowledge of a particular customer account and knowledge of
similar customers.
134
Knowledge of how to put together a team that can work on a project,
who has worked successfully together in the past, what skills were
needed on similar projects.
The three Pillars of Knowledge Management are Technology, Process and People.
The objectives of Knowledge Management can be briefed as creating knowledge
repositories, improving knowledge access, enhancing the knowledge environment
and managing knowledge as an asset.
FRAMEWORK FOR KNOWLEDGE MANAGEMENT:
The knowledge management framework contains four elements:
1. business drivers behind the need ("why"),
2. content ("what"),
3. people ("who"), and
4. The approach ("how").
"Why?" Knowledge management can be very expensive and time consuming;
therefore, these solutions have to align with an organization's overall goals and
objectives.
"What?" Content needs to be identified, captured and categorized for easy reuse
and adaptation.
"Who?" Knowledge management must identify and develop expertise within the
organization.
"How?" Technology has been an innovating force in emerging approaches to
knowledge
management.
135
ACTIVITIES IN MANAGING KNOWLEDGE:
The act of managing knowledge can be characterized by the following four
activities:
1. Acquire knowledge (learn, create, or identify);
2. Analyze knowledge (assess, validate, or value);
3. Preserve knowledge (organize, represent, or maintain); and
4. Use knowledge (apply, transfer, or share).
These activities do not exist in isolation. Instead, you can think of them as a cycle,
as shown in Figure. This can be viewed as follows:
KM CYCLE
(Source: THE ECONOMIC INTELLIGENCE UNIT 2006)
At a recent workshop held at Cambridge University in England, a group of people
active in knowledge management and artificial intelligence identified the main
activities needed by a knowledge management system. These were mapped to
artificial intelligence methods or techniques. The main knowledge management
activities were identified as the acquisition, analysis, preservation, and use of
knowledge.
136
Case-based reasoning is a methodology for supporting knowledge management. It
is not important now that you know what. CBR is or how it works; this will be
explained in the next chapter.
The classic definition of CBR:
"A case-based reasoner solves problems by using or adapting solutions to old
problems."
Riebeck, C.K., & Schank, R. (1989). Inside Case-Based Reasoning. Erlbaum,
Northvale, NJ.
Knowledge Management, in contrast, can be about documenting and sharing what
is through activities such as:
Knowledge audits: Determining exactly what intellectual capital exists in the
company at a given point in time. Knowledge audits can take the form of informal
interviews, such as illustrated by Mary`s activities in the Medical Multimedia, self-
reporting formal paper-based surveys, or through group meetings with management
and employees.
Collaboration: Formal task- or project-oriented groups designed to facilitate
information sharing. Formal collaboration normally involves the participation of
employees who normally would not work together in the course of their regular
work.
Communities of practice: Employees who share tasks, projects, interests, and goals,
normally within a specific work area. For example, the programmers and artists in
Medical Multimedia formed two communities of practice, defined largely by their
common work function. Communities of practice are generally self-forming,
dynamic entities.
137
Knowledge mapping: A process of identifying who knows what, how the
information is stored in the organization, where it`s stored, and how the stores of
information are interrelated.
Mentoring: Experts sharing heuristics, values, and techniques with employees new
to processes within the company. Mentoring, like the formation of communities of
practice, can be fostered by the corporation but not dictated.
Social network analysis: The process of identifying who interacts with whom and
how information is communicated from one individual or group to another.
Storytelling: Otherwise known as the case-based method of teaching, storytelling is
a way of communicating corporate values and other implicit forms of knowledge.
Training and development: The traditional method of dispersing explicit
knowledge. However, in Knowledge Management, training and development
normally involves internal experts from different disciplines, as opposed to
professional trainers.
7C MODEL:
The new conceptual model for understanding organizational knowledge creation,
known as the 7C model, which suggests that
The following seven Cs play a critical role in the creation of organizational
knowledge:
Connection,
Concurrency,
Comprehension,
Communication,
Conceptualization, Collaboration, and Collective intelligence (Oinas-Kukkonen
2004).
The model is based on the distinction of individual and organizational knowledge
and explicit and tacit knowledge. The 7C model suggests that the seven Cs, i.e.
Connection, Concurrency, Comprehension, Communication, Conceptualization,
Collaboration, and Collective intelligence, play a central role in the knowledge
138
creation process. The paper also argues that previous research has focused on the
technology and organizational contexts, and many of the Web`s inherent key
features have not been utilized to the extent they should. Better support for the
largely neglected human-sensitive sub-processes of organizational knowledge
creation, Comprehension and Communication, may be achieved through deeper
utilization of the Web`s hypertext functionality. Moreover, organizat ions may
improve both their core business activities and improvement capabilities as well as
search for competitive advantage from
business alliances.
MAIN ISSUES IN EVALUATION KNOWLEDGE MANAGEMENT
SYSTEMS
Comprehension
Collaboration
Collective
intelligence
and Communication
and Conceptualization
and
Organizational impact
customers
decision making
revenue
business processes
rationale
profitability
product portfolios
reasoning
return
on
investment
product features
reuse of knowledge
growth
markets
productivity
market share
ideas for future business
...
customer
satisfaction
139
recognizing key problems
employee
satisfaction
solving key problems
...
...
shareholder value
WHY IS KNOWLEDGE MANAGEMENT IMPORTANT IN TODAY'S
BUSINESS CLIMATE?
In the emerging economy, a firm's only advantage is its ability to leverage and
utilize its knowledge. Knowledge management is more of a strategy supported by
technology that can show a quantifiable, and sometimes substantial, return on
investment. These are some reasons for requirement KM:
1. KM helps you capitalize on intellectual capital.
2. KM addresses your growing knowledge needs.
3. KM benefits your budget (in an up or down economy).
4. Delaying a KM implementation puts you at a competitive disadvantage.
5. KM self-service saves money and makes customers happy.
Knowledge management solutions are now the most important strategic
technologies for large companies, according to a new report and survey of European
executives by the Economist Intelligence Unit, sponsored by Tata Consultancy
Services. In the survey, 67% of companies cite knowledge management/business
intelligence solutions as important to achieving their strategic goals over the next
three years. This compares with 63% that accord the same level of importance to
new CRM solutions, and 35% that see mobile/wireless technology as vital.
140
Considerations which drive Knowledge Management are:
Making available increased knowledge content in the development and
provision of products and services
Achieving shorter new product development cycles
Facilitating and managing organizational innovation
Leverage the expertise of people across the organization
Benefiting from 'network effects' as the number of productive connections
between employees in the organization increases and the quality of
information shared increases
Managing the proliferation of data and information in complex business
environments and allowing employees to rapidly access useful and relevant
knowledge resources and best practice guidelines
Facilitate organizational learning
Managing intellectual capital and intellectual assets in the workforce (such
as the expertise and know-how possessed by key individuals) as individuals
retire and new workers are hired
A convincing sales pitch from one of the many consulting firms pushing
Knowledge Management as a solution to virtually any business problem,
such as loss of market share, declining profits, or employee inefficiency
ISSUES IN KNOWLEDGE MANAGEMENT:
Knowledge Management involves maintaining as much of the knowledge worker`s
relevant knowledge for the corporation as possible.
? A KM initiative must reflect the reality that knowledge workers vary in
knowledge, skills, and aptitude.
141
? In evaluating the contribution of knowledge workers in the modern knowledge
organization, there is a significant difference between knowing and doing.
? The knowledge worker?management relationship can`t be left to chance but must
be managed.
? A KM initiative must include investing in knowledge worker loyalty.
? Continuing knowledge worker education is essential to maintaining the value
delivered by knowledge workers.
? Although communities of practice are self-organizing structures, management
should facilitate their formation and direction.
? A new business model or management initiative, no matter how innovative and
promising, must consider human behavior.
? A KM initiative represents additional overhead, much of which is borne by
knowledge workers in their daily work.
The Knowledge Management can be viewed in different perspectives. They are:
KM as a Technology - Systems, Methods, Practices
KM as a Discipline - Multidisciplinary, Integrative
KM as a Management Practic
e and Philosophy - Focus on Effectiveness,
Culture, and Stakeholders
KM as a Societal and Enterprise Movement - Focus on Broad Societal,
Enterprise, and Personal Basic Values
SIGNIFICANCE OF KNOWLEDGE MANAGEMENT:
Knowledge is available and leveraged amongst different parts of the
organization o Employees in distant locations are able to collaborate
142
o Activity or process times are positively impacted through the instant
availability of
o knowledge
o Knowledge Management is information put to work
Human Interaction is the focal point surrounding the collection, distribution
and reuse of information
Decision-making is facilitated by the almost immediate availability of
information and the tools to analyze it
Helps maintain an organization`s intellectual capital
An employee`s knowledge about a customer, solution or process is available
to the entire organization
Attrition has less of an impact on the organization since an individual`s
knowledge is already captured
CRITICAL FACTORS OF SUCCESS FOR KM:
People: concept and change management
Shared Vision
Alignment with Business Strategy
Leadership and Sponsor Support
Early Success
Incentive and Reward System
Enabling Technology
TEN PRINCIPLES OF KM FOR SUCCESS:
1. KM is a discipline
143
2. One champion is not enough
3. Cultural change isn't automatic
4. Create a change management plan
5. Stay strategic
6. Pick a topic, go in-depth, and keep it current
7. Don't get hung up on the limitations
8. Set expectations or risk extinction
9. Integrate km into existing systems
10. Educate the self-service users
144
KNOWLEDGE MANAGEMENT PRACTICES (KMP's) IN GHANA:
Knowledge management practices have facilitated innovative performance and to
the productivity of industries. Some KMPs are
promoting a culture of information and knowledge sharing
motivating employees and executives to remain with the firm
forging alliances and partnerships for knowledge acquisition
implementing written knowledge management rules
There exist certain constraints to the development. They are the poor linkage
between knowledge production and economic systems, inadequate human capital,
inadequate investment in science and technology infrastructure and ineffective
paths of technology innovation
Some strategies have been recommended for the development of GHANA. They
are raising the potential pool of skilled labor, improving the science and technology
infrastructure and
creating an enabling environment for innovation in private sector industrial firms
KNOWLEDGE MANAGEMENT LEADERSHIP:
In order to lead the organizations which tend to adopt the knowledge management
practices it becomes essential to have a proper and effective leadership. Like the
definition of Knowledge Management, the types and roles of knowledge leadership
in a corporation are usually defined on a case-by- case basis. Although there are
dozens of terms ascribed to knowledge leaders by consulting firms, the five main
categories of knowledge leadership and their roles in the corporation are:
1. Chief knowledge officer (CKO). A strategic, senior management position
focused on promoting, communicating, and facilitating KM practices in the
145
corporation. The highly visible CKO typically reports directly to the CEO but may
report to the CIO.
2. Knowledge analyst. A tactical, lower- to midlevel position that involves learning
and personally disseminating the best practices of the organization. Knowledge
analysts may use technologies to accumulate and manage knowledge, but the
technologies are for their personal use only. The risk of relying on knowledge
analysts is that they can walk away with the best practices of the corporation, with
no record for those left behind to follow.
3. Knowledge engineer. A tactical, lower-level position that is focused on collecting
information from experts and representing it in an organized form, typically in
computer-based systems, that can be shared and stored in the corporation.
Knowledge engineers frequently form the interface between employees and
computer technologies, such as expert systems--programs that imitate the decision-
making abilities of experts.
4. Knowledge manager. A tactical, midlevel position that involves coordinating the
work of knowledge engineers and analysts, especially in larger corporations.
Knowledge managers may report to the CKO, CIO, or CEO.
5. Knowledge steward. A tactical, low-level, and often temporary or informal
position normally associated with smaller companies. Compared to the other forms
of knowledge leadership, knowledge stewards have the least formal experience with
KM principles and usually have other, primary responsibilities in the corporation.
146
Of the five general forms of leadership, the chief knowledge officer is typically the
most visible, least understood, and highest paid member of any KM initiative.
Unlike senior managers, a CKO typically has no underlying power base and
minimal support staff, and can`t make significant decisions without first being
empowered by senior management.
The above are the different types of leaderships in order to implement the
knowledge management in any organizations.
MIROSOFT:
In the age of e-commerce, few brands have a more commanding presence than
Microsoft. For millions of people and hundreds of thousands of companies around
the globe, Microsoft operating systems and software applications are indispensable
components of their work and home environments. But that extraordinary presence
comes with an equally compelling challenge. As a direct consequence of the
company`s scope and market penetration, Microsoft must grapple with one of the
industry`s most daunting customer service loads. This vignette dramatically shows
the benefits of knowledge management using an organizational memory.
Microsoft`s strategy encompassed two important tactical moves.
First, the company`s three major contact points were consolidated into a single
channel for all customers.
Second, customer service representatives were trained as knowledge brokers,
tasked with handling inquiries across all products, programs, and services, rather
than relying on a procedure that routed the customer to an appropriate specialist.
147
The overall goal was to drive up first contact resolution and improve the
customer experience. From the outset, it was clear that this strategy relied on us
being able to implement a knowledge management system that would put all the
information on our
products, programs, and services at the agents` fingertips.
Helen Pickup, Director of Microsoft`s Customer Care Centre in Glasgow, Scotland.
After reviewing a number of technologies, Microsoft engaged Project Techniques, a
consulting firm, to help evaluate and identify the best solution. Microsoft`s call
center outsourcer, Thus PLC, also participated in the evaluation process. The first
step in the
process was to identify the type of organizational memory that would satisfy
Microsoft`s requirements. Project Techniques reviewed the relative merits of each
of the main knowledge management technologies: knowledge-based systems,
natural language search, and case-based reasoning (CBR). The goal was to find a
tool that would provide both technical and non-technical agents with easy,
structured access to the knowledge base. This led them to select CBR over the other
available technologies.
Following an extensive evaluation of CBR applications, Microsoft chose eGain`s
CBR product, which captures the full range of customer service, sales, and support
data in a single organizational memory and deploys that information across the
entire contact center. Furthermore, support agents can use different levels of the
product based on factors such as user expertise, the customer`s situation, or the
communication medium (for example, online customer self-service, live Web
collaboration, and email).
One of the most important advantages offered by CBR technology lies in its natural,
conversational interface. Support agents are provided with information structured to
148
mimic the way people think and speak. Other information retrieval applications,
such as
keyword search systems, typically are not equipped with sophisticated search
refinement capabilities. As a result, keywords often return too many hits, and
misspelled or incorrect keywords return none. With CBR, when the agent fails to
find a solution on the first attempt, the application will ask a further question
designed to refine the search, similar to the way people engage in conversation.
Once the application was deployed in the call center, Microsoft managers
discovered another important by-product of CBR technology, namely, its user-
friendliness.
Within nine months following the implementation of a CBR knowledge
management system, Microsoft reported:
A10 percent improvement in overall customer satisfaction rating;
A 28 percent increase in first-time-fix success rate;
A 13 percent increase in the agent is informed customer survey score;
A significant reduction in the time required to train ne
w agents, as well as to
elevate existing agent skill sets to the expert level;
A much wider range of customer care issues handled by individual agents,
who also delivered more consistent responses, regardless of the problem.
Summarizing Microsoft`s venture into knowledge management, Helen Pickup
declared, We are confident that knowledge management is key to success in the
customer care arena. We expect to continue investment in this area.
TOYOTA:
149
Toyota's KM practices were considered unique because KM was embedded in its
culture, unlike at most other enterprises where it was implemented as a separate and
independent effort.
KM initiatives in Toyota are
Toyota University
Toyota institute
Global production center
Toyota global knowledge center
TCS:
TCS were rated on eight knowledge performance parameter and was one of the 14
winners in Asia`s Most Admired Knowledge Enterprises (MAKE) Study 2005
TCS was awarded as the best practice in KM, by panel of Asian Fortune 500 Senior
Executive and renowned KM experts.
The main objective of TCS was focused on locating, organizing, sharing and
transferring knowledge for the benefits of the employee and clients spread
throughout the world
3M:
3M in the U.S. has a reputation for encouraging new ideas and turning those ideas
into products and profits. CEO Livio DeSimone is to have ten percent of the
company`s revenues generated by products less than a year old. Beliefs and values
at 3M have encouraged knowledge transfer and led to significant investments in
information technology for knowledge transfer among knowledge workers. A
strong culture of knowledge management permeates 3M Corporation`s operations.
The company actively encourages new product development by requiring that 30
150
percent of annual sales come from products less than four years old. It has a history
of using its organizational knowledge base to spin off new businesses from existing
technical platforms, and of sharing technical knowledge to communicate about
current product activities and statues. 3M is also using knowledge management to
make discoveries that can lead to new products (Turban et al., 2003).
ACCENTURE:
Accenture has more than 200 knowledge managers worldwide. For a large
consulting company whose very product is knowledge, there is considerable
motivation to create a knowledge base to share accumulated know-how. For this
reason, Global Best Practices (GBP) knowledge base was created, a central
repository of knowledge about world-class business practices. The GBP base
contains quantitative and qualitative information about how companies achieve
best-in-the-world standards of performance in activities that are common to most
companies (Turban et al., 2003)
AT&T:
AT&T has built an online directory of expertise, mapping who knows what.
Updating people profiles -- often by individuals themselves -- was found to be
cheaper and more feasible than continuous editing, maintenance, and validation of
content. Furthermore, providing a directory to the knowers is likely to lead to either
the knowledge sources or the knowledge possessors.
Thus we see that Knowledge Management involves rethinking how management
relates to employees. At issue is how to reward the mentors and other
knowledgeable employees for the incremental value they create in the company 151
through sharing their knowledge. In many regards, the basic principles of
Knowledge Management go against human nature, in that employees, as well as
managers, are naturally reluctant to give up their hard-won advantages. This
reluctance to share the real core of information isn`t limited to business but is also
prevalent in academia, which is established around KM principles. Researchers
often offer statistical summaries and generalizations instead of raw data, and the
technical details of leading edge technologies are rarely published in a timely
manner unless tenure or significant funding is at stake.
Knowledge workers are central to the operation of a knowledge organization. Not
only do they represent the greatest potential for multiplying the value of a company,
but they also represent the greatest risk to value loss. Furthermore, managing
knowledge workers is challenging because of the competing goals of encouraging
knowledge sharing thorough communities of practice while maintaining control
over the general direction of the corporation through information hiding and
filtering. For knowledge workers who represent a positive value multiplier,
providing consistent supportive feedback through the corporation`s touch points,
investing in knowledge worker education when economically feasible, and
maintaining the processes associated with knowledge worker loyalty all maximize
the value that the knowledge worker can bring to the corporation.
Knowledge Management begins with a practical implementation plan that
adequately addresses people, process, and technology challenges, whether working
with vendors and developers or shifting the corporate culture to embrace the
concept and reality of a knowledge organization. An insightful and capable senior
manager can recognize and appreciate predictors of a successful KM initiative and
152
manage the potential risks involved. As long as stakeholder expectations are
managed in a way that avoids the hype that kills other business innovations, the
prospects for a successful KM implementation, and for the KM industry as a whole,
look exceptionally bright.
ACTIVITY :
1. What do you mean by Knowledge Management ?
2. Discuss in detail the critical factors and principles for the success
of Knowledge
Management .
3. Briefly highlight the significance of Knowledge Management.
4. Enumerate in detail the issues of Knowledge Management .
5. Explain in detail the activities of sharing and documenting the Knowledge
in Knowledge Management .
___________________________________________________________________
_____
Force Field Automation :
In today`s competitive environment, network companies are under constant
pressure to improve customer service while reducing costs; in field operations this
drives a necessity for utilities and communication businesses to optimize resource
assignment and dispatching.
153
GE Energy`s integrated solution suites for network companies includes Field Force
Automation (FFA), a comprehensive software application combining proven,
optimal resource management and superior street routing. In addition, FFA
software's powerful integration capabilities and use of standard protocols can
improve field services by enhancing and automating business processes across a
variety of work management and corporate systems. FFA delivers significant
efficiencies and cost savings to technical field service teams within large and small
organizations. FFA streamlines the flow of work orders throughout the entire
organization, including creation, assignment, dispatch, monitoring, field activity
reporting, and charge accounting for activities such as:
? Inspection
? Repair
? Maintenance
? Outage restoration
? Meter reading
? Service installation and testing
? Trouble call response
As field-based work progresses, status updates are returned to the source system,
ensuring that all members of the organization are updated and ready to provide
customers and co-workers with timely, accurate information. FFA also promotes
better communication between dispatchers and field teams by providing technical,
commercial and spatial information. Data is more accessible and reliable and FFA
reduces the amount of voice communication required to only the essential
emergency information, minimizing dispatch room disruption. Easily accessible to
senior managers, dispatchers and service technicians, FFA is supplied with a
configured Internet portal, providing optimized field operations via the Internet.
154
FFA Product Description
The three major components within the core package of FFA are:
? Resource planning that lays the building blocks for effective scheduling:
a. Stores individual and crew employee calendars, start/end work
location,
Organizational structure, skill set, wages, preferences, and
equipment held ? Models workforce shift/rotation, holiday, illness,
training, and overtime
considerations
b. Analysis of company policies and collective agreements affecting
staff deployment
c. Full support for multi-person crews and individuals required for a
specific task
? Optimized scheduling differentiates FFA by combining resource intelligence,
planning, and modeling with advanced street level routing:
d. Schedules resources using manual, automatic, and semi-automatic
modes
with heuristic algorithms
e. Automatic, optimal selection of materials and workers based on
complex
resource analysis, including advanced real time analysis such as
proximity
and equipment of currently deployed crews.
- Optimized routing, beyond point-to point distances, with street
level information, such as:
155
- One-ways
- Average speed
- Traffic signals
- Real-time information (if available) such as traffic flow,
accidents,
Closures, etc.
? Dispatch management delivers optimized crew deployment with these abilities:
?Web-based dispatch board and Gantt chart
- dispatcher has full control from calendar management to
technician login/logoff
- Track employee tasks on dispatch board with map-based
dispatching and GPS/AVL updates
-
View overall operations or detail on work and mobile
workers
- Alert dispatchers to priority events
- Automated work status updates
Flexible, Automated Scheduling
Automated scheduling in FFA is achieved by defining rules that can take into
account:
? Personnel training and qualifications
? Individual responsibilities
? Each team`s material and equipment
? Rapid response
? Crew proximity
? Other business-specific factors
156
With FFA, the dispatcher can overrule the automatically generated schedules and
add or prioritize work orders manually. In order to accommodate prioritized
unplanned work orders, automatic re-scheduling of low priority tasks is also
available. This is essential, when, for example, a SCADA system generates
emergency or higher priority tasks than those currently being scheduled or
dispatched. Configuration of user-defined alarms or notices ensure the dispatcher is
instantly aware of any issues and can take relevant
actions, rescheduling work orders if necessary. For low-priority routine
maintenance tasks, the workflow engine provides configurable workflows for
automating the specific processes.
Features
? Automate work order lifecycle from design through project completion
? Manage all levels of work orders with an intrinsic hierarchy that supports projects,
service orders, work orders, actions, and routine and emergency events
? Includes street-level routing database
? Flexible scheduling to include completely automated, semi automated, and manual
Operations
? Ability to integrate to other work order generating systems and enterprise systems
? CIS, OMS, WMS, EAM, ERP
? Collect work order status in real-time
? Manage jeopardy and keep alert of workload imbalances
? Offer real-time appointment booking with configurable window times
Benefits
? Reduce dispatch times associated with manual crew assignment by 33%
157
? Cost savings from 25-35% on overall field operations, recognized in as few as
eight
months
? Improve operating efficiencies by reducing the number of dispatchers necessary to
handle high volume situations (storms, events)
? Decrease emergency crew personnel deployed by as much as 15-20%
? Reduce radio and phone traffic for system operators performing system updates
that crews can perform directly
? Improve the quality of reliability data by reducing voice communications
necessary and
establishing a single point of data by central dispatchers
? Increase customer satisfaction due to more timely updates of restoration status
? Eliminate the complexity and high cost of acquiring and maintaining point
software products from different vendors and performing custom integration
ACTIVITY :
1. What do you mean by Force field Analysis? Discuss in detail the
major components within the core package of FFA.
2. Briefly discuss the features and benefits of FFA.
___________________________________________________________________
_____
CRM links in e-Business: E-Commerce and Customer Relationships on the
Internet
158
ECRM
With eCRM, manufacturers have the opportunity to take customer interaction to
new levels of effectiveness by integrating customer information otherwise hoarded
by customer service, marketing, and sales departments and making it available
across the organisation to improve the overall customer experience.
Some large companies are gaining significant competitive advantage by using
Information Technology (IT) and business to analyze and manage their relationship
with each customer. This trend is relevant to many larger companies. While smaller
companies tend to rely on people, rather than computers, to track and manage their
customer relationships, this trend is still relevant to them because: -
Most IT driven changes in large companies sooner or later are adapted
by progressive
smaller companies, as relevant software packages suited to the needs and budgets
of SMEs are developed. Any SME planning an overall medium term eBusiness/IT
strategy
thus needs to consider whether aspects of CRM are likely to be relevant to
that strategy.
The ability of large companies to provide a holistic approach to customers may
partly
erode one of the competitive advantages enjoyed by SMEs, namely their ability
to provide a much more personalised service than their larger competitors.
159
CRM is the three-letter acronym for Customer Relationship Management.
CRM packages
are software tools that allow the user to keep a record of all interactions with
a customer.
Typical examples of these interactions are:
Complaints
Queries
Requests for Quotations
Instructions and so on
As the user is recording the interactions, the user can have access to all the
customer information that exists on the system. Information such as:
Account Balance and Transaction History;
Order Status;
Shipping Status;
And static details such as name, address, phone, email etc.The level of
information available is dependant on the level of functionality of the CRM tool or
the degree of integration with the company ERP package. [ERP packages process
accounts, sales order processing, stock movements, purchases and so on. The CRM
tool also has functionality:
4. To assign actions (arising out of an interaction ) to different users,
5. Keep a record and status on all actions that have been taken against
a particular
transaction .
6. Classify an interaction as being 'open' until all the desired actions have
been completed
160
The strength of CRM is that any employee within the company can access
the interaction
record at any time to review the status and update it. The customer cannot catch
the employee, who has access to the CRM tool, unaware. This gives the customer
the ' VIP
feeling' because the customer feels that every employee in the company is aware of
the
customer and the customer's issues.
CRM originally evolved from the recording and fixing of complaints to the current
level
where packages are now available on the Internet . In the latest eCRM
generation, the
customer may record the complaint and could change the customer's own
static details
Using a web browser.
CRM systems also allow for proactive dealings with potential and existing
customer [e.g.
quotes] and electronic mail-shots. Records are kept of these interactions in the same
way
as complaints and other 'reactive' interactions are stored.
The normal operational transactions [such as sales order processing, order
picking, dispatch, invoicing and so on] would not normally be stored on a CRM
tool as this functionality is readily available in ERP packages. However, some of
the Tier 1 CRM
161
solutions have started to store this type of information also. The most well known
CRM tool is provided by Siebel Systems.
Competitive advantage through CRM
European manufacturers have been slow in adopting customer relationship
management.
Without explicit retention goals, programs for improving customer loyalty go
nowhere with sub par business performance as a frequent result. But while many
companies have such goals in place, fewer are achieving them. The success of many
non-European manufacturers in Europe over the last two decades has a lot to do
with their forward-thinking practices in managing their customer relationships.
With customers embracing "imported" brands like Nike, Procter & Gamble, and
Colgate-
Palmolive in consumer products, Dell in personal computers, and General Electric
in
appliances, many European manufacturers' notions about customer loyalty are being
called into question. The impact of competitors that excel at anticipating and serving
customer needs is beginning to be felt. Despite many European manufacturers'
hesitation in adopting CRM practices and principles to date, they now have a unique
opportunity to quickly take a lead position. Having sat on the sidelines and let the first
wave of CRM initiatives pass them by; these companies can now use the Internet to
rethink their customer interactions from scratch. Rather than getting on the traditional
CRM bandwagon, they can leapfrog the competition by leveraging the more advanced
capabilities of customer relationship management in the digital world: eCRM. Indeed,
eCRM gives companies far greater opportunities to improve marketing and customer
satisfaction than traditional CRM approaches. Most traditional CRM initiatives predate
the World Wide Web and tend
162
to be in silos such as customer service, sales, or marketing functions. For example,
many companies installed CRM software in their customer call centers to create
deep databases on customers, repair and other service records, and the company's
product and service information. By implementing CRM, these companies made
improvements in certain narrow areas of the business. For example, their service
reps became more knowledgeable about each customer and better able to handle
their issues after the purchase. But the primary benefits of the system were limited
to the customer service function often the call centre representatives. Sales people
typically did not gain access to the data, which they might have used to help make a
sale.
Traditional CRM rarely provided a consistent enterprise-wide picture of the
profitability and needs of individual customers. In essence, while helping give a
better customer experience, those traditional CRM efforts did little to help
companies decide where to invest next or how to improve their product offerings or
sales process.
As we discuss later, without this holistic, integrated, 360-degree view of the
customer, most of the value of CRM efforts dissipates quickly as competitors have
little trouble in catching up. Flexible enterprise-wide eCRM systems can create a
"digital loyalty cycle" across marketing, sales, and customer service. This provides
customers with the optimal price, quality, quantity, brand, pre-sales and after-sales
service experience. This is
becoming the benchmark for successful customer relationship management in the
digital age.
With eCRM, manufacturers have the opportunity to take customer interaction to
new levels of effectiveness by integrating customer information otherwise hoarded
by customer service, marketing, and sales departments and making it available
163
across the organisation to improve the overall customer experience. Traditional
knowledge and analysis of product and geographic markets are becoming relatively
less useful as the understanding of individual customers, their purchase history,
requirements, and lifetime value is becoming the ultimate unit of analysis. The
battleground is moving from scale and market-share to customer profitability and
wallet-share. Without investments in stronger eCRM capabilities, however, a
complete, actionable picture of individual customers is often unavailable for most
companies. This means that strategic
marketing decisions today are often founded upon quicksand. As a result, customer
loyalty is becoming more and more a subject to the now infamous mouse click.
An eCRM system or Web-based CRM system is fundamentally less cumbersome
and less
expensive to implement than traditional CRM because eCRM can be extended more
easily to users everywhere in the company through the Internet . As common
standards for exchanging product, service, and customer data emerge, such as
eXtensible Markup
Language (XML) standards, partners in the sales and distribution channels can be
linked
more easily to the system and share in the benefits. The cost savings can be
sizeable. For
example, GE estimates the cost of taking a phone order at around 5 for simple
products and as much as 80 for its higher-tech offerings. In contrast, an order placed
online costs an average 20-cent. With GE getting 20 million phone calls a year in its
appliance business alone, the savings from Internet -based CRM technology could
become immense. But the value of eCRM goes way beyond cutting cost. The
164
technology allows companies to capture customer feedback at more of the "touch
points" between a company and its customers across channels and functions e.g.
meetings with sales people, customer service inquiries, purchases over the Internet ,
customer surveys, user groups, and the like and use it to improve relationships and
value for individual customers.
European manufacturers have been slower to adopt many key enterprise
technologies,
such as the installation of an enterprise resource planning (ERP) system, for
effectively
managing millions of customer interactions. Without an ERP system to track the
status of a customer's order from the factory to the customer's door, a manufacturer
cannot tell a
customer some of the most important things he or she wants to hear these days:
Where is
my order and when do I get it?
Unresponsiveness to customers' concerns, if not rectified, will threaten the
sustainability of many manufacturers. The continuing integration and expansion of
the European market and the arrival of the Euro are both opportunities and threats.
Certainly, those forces have put European manufacturers on more of an equal
footing with their competitors based elsewhere, particularly in the United States. An
even bigger factor pushing European industrial companies to get much better at
managing customer relationships is the Internet .
The global communications network eliminates much of the age-old geographic and
information advantage that many manufacturers have had over their customers.
Customers of everything from cars and appliances to computers and books can now
get information on pricing, product features and other buying criteria from a broad
165
array of sellers without leaving their home or office, and they can often complete
the transaction electronically.
Unlike many services (such as hair cuts and hotel services), most manufacturing
products
can be transferred across borders and are easily comparable across geographies in
terms
of price, quality, quantity, delivery, and so forth.
As consumers become more familiar with the Net, as bandwidth increases and
access cost
falls, Internet usage will continue to soar. Even if consumers do not buy online, the
information they gain on the Internet can still affect prices. Companies must
understand
that, not unlike the impact of imports on competition, it takes only a small
percentage of total sales to go through Internet channels to seriously affect value
propositions, prices, and profits.
From Product and Geography Focus To Customer - Centric Strategies
The combined impact of the Euro and the Internet has highlighted pricing
disparities across Europe and will no doubt begin to erode them for manufactured
and other internationally tradable goods and services. As manufacturers
traditionally have reaped the rewards from differential pricing strategies in each
country and region, these developments will undoubtedly cause already slim profit
margins to become even slimmer. An interesting example of this is to compare
prices online for the same technology items in different countries from multi-
national IT suppliers such as Dell.
166
While many regional differences will persist within Europe such as those
determined by
culture, language, government policies, and payment systems manufacturers will
have to
move beyond product and geography-centric sales, marketing, and customer service
practices and start to put the customer at the centre of attention. If increasingly
knowledgeable customers can make price comparisons from country to country, the
only way for manufacturers to retain price premiums and increase shareholder value
will be to offer greater value through improved customer service and target
customers with differentiated offerings. That is, they will have to maximize the way
they treat each and every customer or segment. The entire customer interaction,
including what goes on after the sale, will become even more important. Customer
loyalty and retention are bound to become the ultimate platform for competition.
Customer Loyalty and Profitable Growth
Because it costs significantly more to continually attract new customers than to
retain the
current ones, and because the value of most customer relationships increases over
time,
companies that increase revenue without holding onto their best customers wind up
eroding profitability and, thus, shareholder value.
When we look at the business performance of customer-centric manufacturers, we
find clear indications of the underpinnings of success. Customer-centric
manufacturers are more likely to exceed their goals for return on assets and market
share compared to non-customer centric companies. They are also much more likely
167
to exceed key operational goals for inventory reduction, parts shortages, labour
costs, and organisational learning.
Designing The Digital Loyalty Cycle
If customer loyalty is the goal, eCRM is the tool. Although companies can use
eCRM to
pursue benefits in any one part of the business, the greatest benefits come from
using it to
link every operation in a business that affects the customer experience. Integrating
and
leveraging efforts across pricing, product quality, marketing, sales, and customer
service
through the digital loyalty cycle will increasingly become the hallmark of
successful
companies. By always working from a real-time perspective, for example, front-line
staff and strategic partners can continuously improve the way they interact with
individual customers and segments. In doing so, they not only can improve the
customer experience, they can also improve the way feedback from customers is
leveraged across product development, manufacturing, marketing, sales, and
service.
When executed correctly, eCRM implementations are designed as a digital loyalty
cycle that continuously improves to create lasting competitive advantage. When a
manufacturer uses eCRM technology and redefines its business processes in
customer acquisition and
retention, it strengthens its capabilities in key areas that determine a customer's
purchase
168
decision including pricing, product quality, marketing, sales, and customer service
to create a virtuous, digital loyalty cycle. The impact of eCRM strategies is
beginning to show. In traditional call centres alone, eCRM lets companies shift
much of the people-intensive customer service transactions to online transactions
that let customers serve themselves if they wish. Considering the enormous cost of
running call centres to serve customers in multiple languages and cultures and legal
environments across Europe, the Internet provides a permanent but flexible solution
to handle this diverse and costly set of
requirements. Content created in one country can be translated through software
adapted to other countries in near real-time.
The experience of System Label, the Irish specialist printer of industrial labels
equipment, demonstrates how eCRM can increase responsiveness to customer
requirements. Since implementing several system developments including a new
eCRM package, the company often turns around orders faster than its 5 day target at
the outset of the project. With eCRM, customer-centric manufacturers can use
customer information to better predict customers' buying patterns, which allows
them to better manage pricing and marketing decisions in real time. Behind the
scenes of the eCRM systems are conventional, perhaps, but crucial components for
success: business processes, technologies, and people. When it comes to business
processes, manufacturing companies must understand the customer loyalty cycle
and use an integrated approach across the organisation to strengthen loyalty. That
is, they must synchronize and differentiate everything that affects an individual
customer's loyalty: brand, quality, price, sales, and service experience. It is no small
task, but by first focusing on the customers that are most profit-able and key to
future survival, companies can leverage eCRM where it matters most.
169
In terms of technology, companies must use IT to gather, analyze and disseminate
information from customers across the enterprise. Enterprise resource planning
(ERP)
systems can serve as the foundation. For some, a web-based approach is likely to be
both
faster and cheaper. Leveraging Internet technology eases the implementation
burden and
increases flexibility in designing global and regional manufacturing, distribution,
and service networks. The same comparison can be made between traditional CRM
and eCRM. That is, a typical installation of a CRM system a few years ago would
take, say, around 6-12 months. Today, with eCRM, a similar, enhanced and more
flexible system based on Internet technology is not only less expensive to install but
also much quicker, taking just about 3 to 6 months depending on the specific
circumstances of the company.
People are key to serving customers well. Companies must therefore invest in
people
through continual learning, such as just-in-time and cross training, to ensure that
they have the skills and mindset to achieve customer loyalty goals. In addition,
incentives should measure and reward customer satisfaction and loyalty. Base
wages and benefits may have to be upgraded, and knowledge systems should be
supported. Successful companies understand that employee loyalty is crucial to
building customer loyalty.
Overcoming Real and Imagined Barriers to eCRM
170
Becoming customer-centric does not happen overnight. It requires moving the
supply chain from a "push" to a "pull" that is, shifting from producing and
distributing products according to internal forecasts to building and delivering to
meet actual customer demand in a profitable manner. This shift requires thinking of
the "supply chain" as the "demand chain".
The challenges to manufacturers are significant but unavoidable. The good news
is that
many barriers to change are more perceived than real. Take, for example, the
lack of a
common payment system in Europe and lack of common rules governing financial
institutions. If a company wants to set up accounts with the same bank in each EU
country, it may need as many as 900 signatures. Some say this will prevent the
Internet from facilitating the free flow of goods and services across country lines.
But EU countries have already adopted significant legislative changes designed to
facilitate both the single European Market and eBusiness.
The one barrier to eCRM that is very real and very big is complacency. Manufacturers
are at risk of losing the game if they cannot change their mindset and take advantage of
new tools and technologies to become more customer-oriented. Companies often still
believe that if you make a good product, people will buy it. If they continue to focus
only on the design and manufacture of products, they will miss important opportunities
to learn more about what their customers really want and to provide the profitable
after-sale services that customers increasingly need and demand. If, on the other hand,
they are willing to view their operations more broadly by adopting eCRM technologies
to get closer to customers, they can strengthen their customer interactions, grow, and
prosper. In the case of Zomax Ireland, for example, it was customers that drove the
company to embrace eCRM
171
and other technologies and this is likely to be the experience of many
Irish businesses over the coming years.
The arguments manufacturers typically make for skimping on customer retention
practices and capabilities like eCRM are rapidly weakening. The challenge now
is to use technology to lead the next revolution by leveraging the online loyalty
and creating sustainable business models.
Enterprise resource planning
Enterprise Resource Planning systems (ERPs) integrate (or attempt to integrate)
all data and processes of an organization into a single unified system. A typical
ERP system will use multiple components of computer software and hardware to
achieve the integration. A key ingredient of most ERP systems is the use of a
single, unified database to store data for the various system modules.
The term ERP originally implied systems designed to plan the utilization of
enterprise-wide resources. Although the acronym ERP originated in the
manufacturing environment, today's use of the term ERP systems has much
broader scope. ERP systems typically attempt to cover all basic functions of an
organization, regardless of the organization's business or charter. Business, non-
profit organizations, non governmental organizations, governments, and other large
entities utilize ERP systems.
Additionally, it may be noted that to be considered an ERP system, a software
package generally would only need to provide functionality in a single package
that would normally be covered by two or more systems. Technically, a software
172
package that provides both Payroll and Accounting functions (such as
QuickBooks) would be considered an ERP software package.
However, the term is typically reserved for larger, more broadly based applications.
The introduction of an ERP system to replace two or more independent applications
eliminates the need for external interfaces previously required between systems,
and provides additional benefits that range from standardization and lower
maintenance (one system instead of two or more) to easier and/or greater reporting
capabilities (as all data is typically kept in one database).
Examples of modules in an ERP which formerly would have been stand-alone
applications include: Manufacturing, Supply Chain, Financials, CRM, Human
Resources, and Warehouse Management.
Overview of ERP :
Looking more closely at ERP systems, a key factor is the integration of data from
all aspects of an organization. To accomplish this, an ERP system typically runs
on a single database instance with multiple software modules providing the
various business functions of an organization.
Some organizations - typically those with sufficient in-house IT skills to integrate
multiple software products - choose to only implement portions of an ERP system and
develop an external interface to other ERP or stand-alone systems for their other
application needs. For instance, the PeopleSoft HRMS and Financials systems may be
perceived to be better than SAP's HRMS solution. And likewise, some may
173
perceive SAP's manufacturing and CRM systems as better than PeopleSoft's
equivalents. In this case these organizations may justify the purchase of an ERP
system, but choose to purchase the PeopleSoft HRMS and Financials modules from
Oracle, and their remaining applications from SAP.
This is very common in the retail sector, where even a mid-sized retailer will have
a discrete Point-of-Sale (POS) product and financials application, then a series of
specialised applications to handle business requirements such as warehouse
management, staff rostering, merchandising and logistics.
Ideally, ERP delivers a single database that contains all data for the software
modules, which would include:
Manufacturing
Engineering, Bills of Material, Scheduling, Capacity, Workflow
Management, Quality Control, Cost Management, Manufacturing Process,
Manufacturing Projects, Manufacturing Flow
Supply Chain Management
Inventory, Order Entry, Purchasing, Product Configurator, Supply Chain
Planning, Supplier Scheduling
Financials
General Ledger, Cash Management, Accounts Payable,
Accounts Receivable, Fixed Assets
Projects
Costing, Billing, Time and Expense, Activity Management
Human Resources
Human Resources, Payroll, Training, Time & Attendance, Benefits
174
Customer Relationship Management
Sales and Marketing, Commissions, Service, Customer Contact and
Call Center support
Data Warehouse
and various Self-Service interfaces for Customers, Suppliers, and Employees
Enterprise Resource Planning is a term originally derived from manufacturing
resource planning (MRP II) that followed material requirements planning (MRP).
MRP evolved into ERP when "routings" became major part of the software
architecture and a company's capacity planning activity also became a part of the
standard software activity. ERP systems typically handle the manufacturing,
logistics, distribution, inventory, shipping, invoicing, and accounting for a
company. Enterprise Resource Planning or ERP software can aid in the control of
many business activities, like sales, marketing, delivery, billing, production,
inventory management, quality management, and human resources management.
ERPs are often incorrectly called back office systems indicating that customers and
the general public are not directly involved. This is contrasted with front office
systems like customer relationship management (CRM) systems that deal directly
with the customers, or the eBusiness systems such as eCommerce, eGovernment,
eTelecom, and eFinance, or supplier relationship management (SRM) systems.
ERPs are cross-functional and enterprise wide. All functional departments that are
involved in operations or production are integrated in one system. In addition to
manufacturing, warehousing, logistics, and Information Technology, this would
include accounting, human resources, marketing, and strategic management.
175
ERP II means open ERP architecture of components. The older, monolithic
ERP systems became component oriented.
EAS - Enterprise Application Suite is a new name for formerly developed ERP
systems which include (almost) all segments of business, using ordinary
Internet browsers as thin clients.
Before
Prior to the concept of ERP systems, departments within an organization would
have their own computer systems. For example, the Human Resources (HR)
department, the Payroll (PR) department, and the Financials department. The HR
computer system (Often called HRMS or HRIS) would typically contain
information on the department, reporting structure, and personal details of
employees. The PR department would typically calculate and store paycheck
information. The Financials department would typically store financial transactions
for the organization. Each system would have to rely on a set of common data to
communicate with each other. For the HRIS to send salary information to the PR
system, an employee number would need to be assigned and remain static between
the two systems to accurately identify an employee. The Financials system was not
interested in the employee level data, but only the payouts made by the PR systems,
such as the Tax payments to various authorities, payments for employee benefits to
providers, and so on. This provided complications. For instance, a person could not
be paid in the Payroll system without an employee number.
176
After
ERP software, among other things, combined the data of formerly disparate
applications. This made the worry of keeping employee numbers in
synchronization across multiple systems disappear. It standardised and reduced the
number of software specialties required within larger organizations.
Best Practices
Best Practices were also a benefit of implementing an ERP system. When
implementing an ERP system, organizations essentially had to choose between
customizing the software or modifying their business processes to the "Best
Practice" functionality delivered in the vanilla version of the software.
Typically, the delivery of best practice applies more usefully to large organizations
and especially where there is a compliance requirement such as IFRS, Sarbanes-
Oxley or Basel II, or where the process is a commodity such as electronic funds
transfer. This is because the procedure of capturing and reporting legislative or
commodity content can be readily codified within the ERP software, and then
replicated with confidence across multiple businesses who have the same business
requirement.
Where such a compliance or commodity requirement does not underpin the
business process, it can be argued that determining and applying a best practice
actually erodes competitive advantage by homogenizing the business compared to
everyone else in their industry sector.
177
Evidence for this can be seen within EDI, where the concept of best practice, even
with decades of effort remains elusive. A large retailer, for example, wants EDI
plus some minor tweak that they perceive puts them ahead of their competition.
Mid-market companies adopting ERP often take the vanilla version and spend half
as much as the license cost doing customisations that deliver their competitive edge.
In this way they actively work against best practice because they perceive that the
way they operate is best practice, irrespective of what anyone else is doing.
Implementation
Because of their wide scope of application within a business, ERP software systems
are typically complex and usually impose significant changes on staff work
practices (if they did not, there would be little need to implement them).
Implementing ERP software is typically not an "in-house" skill, so even smaller
projects are more cost effective if specialist ERP implementation consultants are
employed. The length of time to implement an ERP system depends on the size of
the business, the scope of the change and willingness of the customer to take
ownership for the project. A small project (eg, a company of less than 100 staff)
may be planned and delivered within 3 months; however, a large, multi-site or
multi-country implementation may take years.
The most important aspect of any ERP implementation is that the company
who has purchased the ERP product takes ownership of the project.
To implement ERP systems, companies often seek the help of an ERP vendor or of
third-party consulting companies. These firms typically provide three areas of
professional services: Consulting, Customisation and Support.
178
Consulting Services
The Consulting team is typically responsible for your initial ERP implementation
and subsequent delivery of work to tailor the system beyond "go live". Typically
such tailoring includes additional product training; creation of process triggers and
workflow; specialist advice to improve how the ERP is used in the business; system
optimisation; and assistance writing reports, complex data extracts or implementing
Business Intelligence.
The consulting team are also responsible for planning and jointly testing the
implementation. This a critical part of the project, and one that is often overlooked.
Consulting for a large ERP project involves three levels: systems architecture,
business process consulting (primarily re-engineering) and technical consulting
(primarily programming and tool configuration activity). A systems architect
designs the overall dataflow for the enterprise including the future dataflow plan. A
business consultant studies an organization's current business processes and
matches them to the corresponding processes in the ERP system, thus 'configuring'
the ERP system to the organization's needs. Technical consulting often involves
programming. Most ERP vendors allow modification of their software to suit the
business needs of their customer.
For most mid-sized companies, the cost of the implementation will range from around
the the list price of the ERP user licenses to up to twice this amount (depending on the
level of customisation required). Large companies, and especially those with multiple
sites or countries, will often spend considerably more on the
179
implementation than the cost of the user licenses -- three to five times as more is not
uncommon for a multi-site implementation.
Customisation Services
Customisation is the process of extending or changing how the system works by
writing new user interfaces and underlying application code. Such customisations
typically reflect local work practices that which are not currently in the core
routines of the ERP system software.
Examples of such code include early adopter features (e.g., mobility interfaces were
uncommon a few years ago and were typically customised) or interfacing to third
party applications (this is 'bread and butter' customisation for larger
implementations as there are typically dozens of ancilliary systems that the core
ERP software has to interact with). The Professional Services team is also involved
during ERP upgrades to ensure that customisations are compatible with the new
release. In some cases the functionality delivered via previous a customisation may
have been subsequently incorporated into the core routines of the ERP software,
allowing customers to revert back to standard product and retire the customisation
completely.
Customizing an ERP package can be very expensive and complicated, because
many ERP packages are not designed to support customization, so most businesses
implement the best practices embedded in the acquired ERP system. Some ERP
packages are very generic in their reports and inquiries, such that customization is
expected in every implementation. It is important to recognize that for these
180
packages it often makes sense to buy third party plug-ins that interface well with
your ERP software rather than reinventing the wheel.
Customisation work is usually undertaken as bespoke software development on a
time and materials basis. Because of the specialist nature of the customisation and
the 'one off' aspect of the work, it is common to pay in the order of $200 per hour
for this work. Also, in many cases the work delivered as customisation is not
covered by the ERP vendors Maintenance Agreement, so while there is typically a
90-day warranty against software faults in the custom code, there is no obligation
on the ERP vendor to warrant that th code works with the next upgrade or point
release of the core product.
One often neglected aspect of customisation is the associated documentation. While
it can seem like a considerable -- and expensive -- overhead to the customisation
project, it is critical that someone is responsible for the creation and user testing of
the documentation. Without the description on how to use the customisation, the
effort is largely wasted as it becomes difficult to train new staff in the work pratice
that the customisation delivers.
Maintenance and Support Services
Once your system has been implemented, the consutling company will typically
enter into a Support Agreement to assist your staff keep the ERP software running
in an optimal way. A Maintenance Agreement typically provides you rights to all
current version patches, and both minor and major releases, and will most likely
allow your staff to raise support calls. While there is no standard cost for this type
181
of agreement, they are typically between 15% and 20% of the list price of the ERP
user licenses.
Advantages
In the absence of an ERP system, a large manufacturer may find itself with many
software applications that do not talk to each other and do not effectively interface.
Tasks that need to interface with one another may involve:
design engineering (how best to make the product)
? order tracking from acceptance through fulfillment
the revenue cycle from invoice through cash receipt
managing interdependencies of complex Bill of Materials
tracking the 3-way match between Purchase orders (what was ordered),
Inventory receipts (what arrived), and Costing (what the vendor invoiced)
the Accounting for all of these tasks, tracking the Revenue, Cost and Profit
on a granular level.
Change how a product is made, in the engineering details, and that is how it will
now be made. Effective dates can be used to control when the switch over will
occur from an old version to the next one, both the date that some ingredients
go into effect, and date that some are discontinued. Part of the change can
include labeling to identify version numbers.
Computer security is included within an ERP to protect against both outsider crime,
such as industrial espionage, and insider crime, such as embezzlement. A data
tampering scenario might involve a terrorist altering a Bill of Materials so as to put
182
poison in food products, or other sabotage. ERP security helps to prevent abuse
as well.
Disadvantages
Many problems organizations have with ERP systems are due to inadequate
investment in ongoing training for involved personnel, including those
implementing and testing changes, as well as a lack of corporate policy
protecting the integrity of the data in the ERP systems and how it is used.
Limitations of ERP include:
Success depends on the skill and experience of the workforce, including training
about how to make the system work correctly. Many companies cut costs by cutting
training budgets. Privately owned small enterprises are often undercapitalized,
meaning their ERP system is often operated by personnel with inadequate
education in ERP in general, such as APICS foundations, and in the particular ERP
vendor package being used.
? Personnel turnover; companies can employ new managers lacking
education in the company's ERP system, proposing changes in business
practices that are out of synchronization with the best utilization of the
company's selected ERP.
? Customization of the ERP software is limited. Some customization
may involve changing of the ERP software structure which is usually
not allowed.
183
? Re-engineering of business processes to fit the "industry standard" prescribed
by the ERP system may lead to a loss of competitive advantage.
? ERP systems can be very expensive to install.
? ERP vendors can charge sums of money for annual license renewal that
is unrelated to the size of the company using the ERP or its profitability.
Technical support personnel often give replies to callers that are
inappropriate for the caller's corporate structure. Computer security
concerns arise, for example when telling a non-programmer how to change a
database on the fly, at a company that requires an audit trail of changes so as
to meet some regulatory standards.
ERPs are often seen as too rigid and too difficult to adapt to the specific
workflow and business process of some companies - this is cited as one of
the main causes of their failure.
? Systems can be difficult to use.
? The system can suffer from the "weakest link" problem - an inefficiency
in one department or at one of the partners may affect other participants.
? Many of the integrated links need high accuracy in other applications to
work effectively. A company can achieve minimum standards, then over
time "dirty data" will reduce the reliability of some applications.
? Once a system is established, switching costs are very high for any one of the
partners (reducing flexibility and strategic control at the corporate level).
? The blurring of company boundaries can cause problems in
accountability, lines of responsibility, and employee morale.
? Resistance in sharing sensitive internal information between departments
can reduce the effectiveness of the software.
184
? There are frequent compatibility problems with the various legacy
systems of the partners.
? The system may be over-engineered relative to the actual needs of
the customer.
ACTIVITY :
1.Write short notes on ERP?
2.What are the advantages and disadvantages of the implementation of ERP.
Supply chain management (SCM)
Supply chain management (SCM) is the oversight of materials, information, and
finances as they move in a process from supplier to manufacturer to wholesaler to
retailer to consumer. Supply chain management involves coordinating and
integrating these flows both within and among companies. It is said that the
ultimate goal of any effective supply chain management system is to reduce
inventory (with the assumption that products are available when needed). As a
solution for successful supply chain management, sophisticated software systems
with Web interfaces are competing with Web-based application service providers
(ASP) who promise to provide part or all of the SCM service for companies who
rent their service.
Supply chain management flows can be divided into three main flows:
? The product flow
? The information flow
? The finances flow
185
The product flow includes the movement of goods from a supplier to a customer,
as well as any customer returns or service needs. The information flow involves
transmitting orders and updating the status of delivery. The financial flow consists
of credit terms, payment schedules, and consignment and title ownership
arrangements.
There are two main types of SCM software: planning applications and execution
applications. Planning applications use advanced algorithms to determine the best
way to fill an order. Execution applications track the physical status of goods, the
management of materials, and financial information involving all parties.
Some SCM applications are based on open data models that support the sharing
of data both inside and outside the enterprise (this is called the extended
enterprise, and includes key suppliers, manufacturers, and end customers of a
specific company). This shared data may reside in diverse database systems, or
data warehouses, at several different sites and companies.
A data warehouse is a central repository for all or significant parts of the data
that an enterprise's various business systems collect. The term was coined by W.
H. Inmon. IBM sometimes uses the term "information warehouse."
Typically, a data warehouse is housed on an enterprise mainframe server. Data from
various online transaction processing (OLTP) applications and other sources is
selectively extracted and organized on the data warehouse database for use by
analytical applications and user queries. Data warehousing emphasizes the capture
of data from diverse sources for useful analysis and access, but does not generally
start from the point-of-view of the end user or knowledge worker who may need
186
access to specialized, sometimes local databases. The latter idea is known as the
data mart.
Applications of data warehouses include data mining, Web mining, and decision
support systems (DSS).
By sharing this data "upstream" (with a company's suppliers) and "downstream"
(with a company's clients), SCM applications have the potential to improve the
time-to-market of products, reduce costs, and allow all parties in the supply chain
to better manage current resources and plan for future needs.
Increasing numbers of companies are turning to Web sites and Web-based
applications as part of the SCM solution. A number of major Web sites offer e-
procurement marketplaces where manufacturers can trade and even make auction
bids with suppliers.
E-procurement is the business-to-business purchase and sale of supplies and
services over the Internet. An important part of many B2B sites, e-procurement is
also sometimes referred to by other terms, such as supplier exchange. Typically,
e-procurement Web sites allow qualified and registered users to look for buyers or
sellers of goods and services. Depending on the approach, buyers or sellers may
specify prices or invite bids. Transactions can be initiated and completed. Ongoing
purchases may qualify customers for volume discounts or special offers.
E-procurement software may make it possible to automate some buying and
selling. Companies participating expect to be able to control parts inventories more
effectively, reduce purchasing agent overhead, and improve manufacturing cycles.
187
E-procurement is expected to be integrated with the trend toward
computerized supply chain management
ACTIVITY :
1. Discuss in detail the meaning of supply chain management and
its significance in
business.
Supplier Relationship Management (SRM)
Supplier relationship management is a comprehensive approach to managing an
enterprise's interactions with the organizations that supply the goods and services it
uses. The goal of supplier relationship management (SRM) is to streamline and
make more effective the processes between an enterprise and its suppliers just as
customer relationship management (CRM) is intended to streamline and make
more effective the processes between an enterprise and its customers.
SRM includes both business practices and software and is part of the information
flow component of supply chain management (SCM). SRM practices create a
common frame of reference to enable effective communication between an
enterprise and suppliers who may use quite different business practices and
terminology. As a result, SRM increases the efficiency of processes associated
with acquiring goods and services, managing inventory, and processing materials.
According to proponents, the use of SRM software can lead to lower production
costs and a higher quality, but lower priced end product. SRM products are
188
available from a number of vendors, including 12 Technologies,
Manugistics, PeopleSoft, and SAP.
The Essentials of Supplier Relationship Management
In virtually every industry, the role of the supplier has radically expanded over the
past decade. Today there are cases where almost every aspect of product
development and operations has been outsourced to a new breed of suppliers.
Suppliers have gone from simply being invited to the design team meetings to
becoming the design team.
The role of the supplier has also been changed by the need for assured supply.
Greater outsourcing, supply chain management and vendor-managed inventories
have all increased the risk that a critical component may not be available when it
comes time to make an original equipment manufacturer's (OEM) shipment. When
this happens to a major product line at the end of a quarter, we often read about it in
the newspapers, as the supplier-short shipment is cited as the reason the company
missed its quarter.
The result is a fundamental power shift in the world of manufacturing. Suppliers are
no longer simply supplying, they are critical players in the success of the business.
For a growing list of features in OEM products, suppliers now own the intellectual
capital that goes into creating the products. A few examples of this are computer
monitors, automotive braking systems and passenger seating. If a supplier fails to
develop and deliver competitive features, the OEM product is no longer
competitive. If the supplier doesn't allocate adequate supply, OEMs can't ship and
take revenue for their products.
189
The traditional systems that have been used for product development and
procurement don't work anymore. Meanwhile, the potential downside cost and risk
associated with managing supplier relationships has skyrocketed. These factors fuel
the requirements for a fresh approach to managing relationships with suppliers.
This trend toward more outsourcing and greater supplier value has also changed the
economics of today's corporation. More and more companies have purchase spend
exceeding 50 percent of their top-line revenue. There are also growing concerns
over the increased risk associated with aggressive outsourcing. In the old days,
supply risk could be offset through split awards and effective management of
second sources, but the trend toward suppliers designing, building and even directly
shipping complete subsystems has nearly eliminated the second source option. Any
time a supplier falls short on delivery or doesn't get a critical subsystem developed
in time for a new product's launch, the top line suffers. This makes supplier
relationship management, or SRM, the best investment a company can make in
design and procurement. It is the only system that can simultaneously reduce cost
and risk.
The Challenge of Strategic Sourcing
As the role of the supplier has expanded, a new business vocation has emerged:
strategic sourcing. The wizards of strategic sourcing are the commodity managers
who must make a plethora of supply decisions every day -- as well as rethink all of
the supply decisions that have been made in the past -- and immediately act on
these new decisions. Unfortunately, the facts associated with strategic sourcing have
historically been impossible to collect on a timely basis.
190
The following is a list of essential pieces in the strategic sourcing pie and why
not aggregating and analyzing them can become costly:
Spend Aggregation -- Where is spend going across the entire enterprise, what
is being spent with each supplier and how much is being spent on each
commodity? Although these are often the most fundamental facts a company uses
for strategic sourcing, they're seldom easy to collect. Companies have multiple
procurement systems (or instances of the same system), multiple supplier masters
and inconsistent commodity coding schemes. Spend aggregation facts are often the
most powerful negotiating tool a buyer can have. Buyers can knock 15 percent off
the cost of purchases simply by understanding their true overall spend on a given
commodity and using that information to cut a better contract with a preferred
supplier.
Material Consolidation -- How many 3-inch blue widgets do we buy, and
do we need all of these varieties? What if we selected a preferred 3-inch blue
widget and found a way to use it for all 3-inch blue widget requirements? The
challenge is to establish clean, rich content about what a company buys and then
analyze functional equivalents to determine preferred varieties. Studies have shown
that duplicate parts cost at least $10,000 a year to maintain. One major computer
company successfully reduced the variety of parts it purchased from 540,000 to
280,000 through this kind of material consolidation program, saving hundreds of
millions of dollars in the process.
191
Demand and Forecast Deviation -- From a negotiation perspective, it's useful
to understand where you've been spending your money in the past, but the real
key is to understand where you'll be spending your money in the future, because
it is never the same. The more variability exists in your business, the less likely
it is that you will buy the same things from the same suppliers in the future.
When this happens, you invariably pay more for the volumes that increased and
you fail to live up to your commitments for the volumes that
decrease, missing out on the lower unit prices you negotiated in the past.
New Product Design Changes -- Product design teams regularly come up with
something new that must be sourced before a new product can go into
production. That often means introducing a new supplier. If the sourcing team
identifies these new requirements in time, they can identify potential sources,
negotiate contracts and secure volume materials. If they find out too late, the
new product can't ship and everyone scrambles to rush in high-priced materials
or
design
out
the
hard-to-source
parts.
Contract Performance -- Every good-sized company has hundreds to
thousands of contracts in place with its suppliers. Occasionally, companies
actually buy according to their contracts. Most of the time they do not. Demand
changes, engineering changes and supplier short shipments often result in
contracts failing to meet negotiated volumes. The actual transactions that are
booked against a contract must then be monitored and alerts must be established
to flag significant anomalies. This becomes very difficult when companies have
thousands of contracts and dozens of procurement systems with inconsistent
content, item and supplier masters. ",
192
Supplier Performance -- Even when all of the right contracts are in place and
demand forecasts are accurate, suppliers can still fail to deliver, severely
damaging your business. When it happens frequently, you have a bad supplier
and you need to demand improvement or move your business to a higher
performing supplier. The same is true for quality. You also need to identify the
suppliers who are providing more than just on-time delivery and steer more
business
their
way.
Supplier Market Opportunities -- To understand alternate sourcing
opportunities in the outside market, you need to be able to quickly prepare a
request for information (RFI) package and test the supply markets. It often
requires sophisticated what-if analysis to understand the total cost of
switching your spend from an existing (underperforming) supplier to a new
source.
The basic facts required to source strategically are diverse and often difficult to
collect in a large, multi-division enterprise. Because of this, they are seldom
available and never current. Armed with fragmented and out-of-date information,
buyers must strive to negotiate the right contracts at the best terms possible and
hope nothing goes wrong.
The Power of a Single View
As SRM solutions were developed, it became clear that the workflows that create,
execute and sustain optimal supplier relationships are integrally related to one
another. They cross the traditional boundaries of design, procurement and
193
manufacturing and extend out into the supplier's environment. They also cross the
physical barriers of multiple divisions, plants, purchasing and design centers. In the
existing systems that managed all of the supplier information and transactions, there
were a very large number of disparate systems that did not talk to one another.
There was also duplicate and inconsistent data across these systems. Getting a
complete view of a part, a supplier, or a bill of material for outsourced parts
required sifting through fragmented data in a number of different types of legacy
systems.
What is needed is a single view of all of the processes that face the supplier. This
single view must be able to cut across functional disciplines and cross physical
barriers, as well. At the same time, any new solution has to leverage all of the
legacy systems that are already in place.
But are SRM systems really worth investing in? Well, there are some significant
benefits. First, SRM provides the ability to strategically manage all aspects of the
supplier relationship to reduce the cost and risk associated with the kind of
outsourcing practices seen today. SRM tools help companies create, execute and
sustain their sourcing strategy.
The Supplier Must Win, Too!
SRM solutions can also help create incentives for your suppliers. A number of
OEM-centric initiatives designed to support extended outsourcing have failed for a
very simple reason -- there was no win for suppliers. Suppliers often operate on
narrow margins and face fierce competition. They struggle to differentiate
194
themselves and are unwilling to invest in something that commoditizes their
offerings, such as auctioning.
Looking at SRM from the supplier perspective, there are three areas where SRM
could provide benefits:
Forward Visibility -- When the forecast they've been building against is no
longer valid, suppliers are often the last to know. Typically, the lag time between
the OEM knowing the real demand and the supplier being notified is 60 to 70 days.
During this lag time, two very bad things are happening. First, the supplier is
building things the OEM doesn't need and probably won't take delivery on. The
cost of erroneous production will have to be eaten by someone. The other bad thing
that happens is that the supplier is probably not building what the OEM needs to
capture demand for truly hot sellers. This will cost revenue and market share.
Design Wins -- In the world of direct material, a supplier's sales success is often
determined by the OEM's design team -- long before a contract is negotiated. This
happens when a supplier's parts, materials or subsystems get designed into a new
product. By guiding an OEM design team to use preferred parts from preferred
suppliers, SRM closes the loop with the suppliers who provide the most value.
Content Syndication -- One of the lessons learned during the B2B exchange
craze was that suppliers cannot publish custom catalogs for every customer or
exchange that they do business with. All but the very largest suppliers lack the
resources and technical know-how to pull it off. What suppliers need is the ability
to publish once and syndicate their catalog across all of their trading parties. They
195
can still provide key customers with filtered catalogs and private pricing, but
the basic content is only published and maintained once.
Four steps to SRM success
Oracle believes that there are four critical factors to consider for a
successful implementation of an SRM solution.
The first step is integration. An enterprise cannot offer SRM to its suppliers until it
has automated and integrated its own internal processes. As SRM draws on
information generated throughout the enterprise, including, but not limited to,
product life cycle management, supply chain planning, enterprise resource
planning and customer relationship management, this information should flow
from a single data source.
Pella Corporation, a US manufacturer of windows and doors, wanted to lower its
overall costs by adopting a central web-based approach to procurement and
improving the management of vendor terms and agreements. By integrating
Oracle Financials and Oracle Procurement, Pella streamlined its procure-to-pay
processes and achieved significant time and cost savings, while gaining valuable
insight and business intelligence.
Oracle Procurement enabled Pella's corporate purchasing division to cut transaction
times for purchase orders from thirty minutes to five, a reduction of eighty-six percent.
Pella's manufacturing division has cut clerical costs and time per purchase order by
fifty percent. Tracey Buck, co-ordinator of facilities management for Pella said:
'Oracle Procurement has helped reduce the number of calls from Pella's
196
corporate purchasing department and from vendors by as much as ninety-five
percent.'
Secondly, suppliers need to be connected to the enterprise. They should be able to
inquire, view and transact directly with the buyer's system. The method of
connecting suppliers to the business must be affordable, scalable and relatively
straightforward to implement and use. The range of interface options available to
suppliers - XML, EDI, web services, portals or email - means that their
investment in linking to the buyer's system can be kept to a minimum.
Thirdly, once a single view of the supply chain has been enabled, analytical tools
can be added to help identify the areas of greatest opportunity for both the buying
organisation and the supplier base, and to monitor performance. Business
intelligence tools assist decision-making and can help increase profitability for both
parties.
For example, if over fifty percent of a month's projected inventory of a particular item
is sold within the first week of the month, the supplier is automatically notified to
deliver additional stock, ensuring that the buying organisation has sufficient supply to
meet customer demands, while simultaneously boosting its own revenue.
Business intelligence tools can also be used to track supplier performance against
business objectives, other than just price. Monitoring performance is an important step
in improving supplier relationships, however according to a study by Aberdeen Group,
only about half of enterprises have formal procedures in place to measure
performance. Aberdeen analyst, Mark Vigoroso, says that without measurement
197
procedures in place, companies have no way of knowing if money and effort
spent on supply chain planning is doing any good.
Finally, a culture of collaboration must be fostered across the supply chain, and
suppliers viewed as a source of competitive advantage, rather than cost. Gartner
notes that properly managed supplier relationships 'can contribute to enterprise
innovation and growth', while a poorly managed supply base 'will drive up
costs and slow new product initiatives'.
An integrated, connected supply chain can help lower costs, as manufacturers and
suppliers are able set joint production, inventory and fulfilment schedules against
real-time market data.
A modular approach can be taken to an SRM project, starting, for example, with a
critical supplier-facing function such as procurement or sourcing. UK retailer
Littlewoods plc achieved 24 percent savings on its procurement of indirect goods
in a successful pilot of Oracle Sourcing.
Oracle Sourcing, a complete and integrated global sourcing application, allows a
company to optimise its supplier base, reduce sourcing costs, improve supplier
relationships, and source for best value. Littlewoods has now moved its purchasing
function online permanently with Oracle Sourcing and expects to massively save
on its annual procurement spend.
'Littlewoods Retail spends around ?320 million (US $462 million) a year on
purchasing goods - a significant amount - that we believe can be reduced through
198
the use of online auctions carried out through Oracle Sourcing,' said David
Hallet, chief information officer for Littlewoods Retail Ltd.
In a highly competitive marketplace, companies are searching for further
opportunities to reduce costs and improve operational efficiencies. According to
Gartner , supplier relationship management (SRM) represents an evolutionary
extension of supply chain management, driven by the need for enterprises to better
understand their suppliers' long-term financial and operational contribution to the
top and bottom lines. It is the next step in managing the supply chain more
effectively.
Supplier relationship management then represents an opportunity to improve the
accuracy and speed of buyer-supplier transactions, while improving
collaborative working practices to the benefit of both parties, driving continuous
improvement and lowering total cost of ownership.
ACTIVITY:
1.What do you mean by Supplier Relationship Management ?
2. Enumerate in detail the benefits of SRM ?
3.What are the four critical factors to be considered for a successful
implementation of an SRM solution.
___________________________________________________________________
_____
Partner relationship management (PRM)
199
Partner relationship management (PRM) is a business strategy for improving
communication between companies and their channel partners. Web-based PRM
software applications enable companies to customize and streamline administrative
tasks by making shipping schedules and other real-time information available to all
the partners over the Internet. Several CRM providers have incorporated PRM
features, such as Web-enabled spreadsheets shared through an extranet, in their
software applications. PRM is often compared to customer relationship management
(CRM) and there is some argument over whether the complex relationships of
channel partnerships makes it necessary for PRM to be a separate entity, or merely a
component of CRM.
Channel refers to
In information technology, the term channel is used in a number of ways.
1) In telecommunications in general, a channel is a separate path through which
signals can flow.
2) In the public switched telephone network (PSTN), a channel is one of multiple
transmission paths within a single link between network points. For example, the
commonly used (in North America) T-carrier system line service provides 24 64
Kbps channels for digital data transmission.
3) In radio and television, a channel is a separate incoming signal or program
source that a user can select.
200
4) In optical fiber transmission using dense wavelength-division multiplexing
(DWDM), a channel is a separate wavelength of light within a combined,
multiplexed light stream.
5) On the World Wide Web, a channel is a preselected Web site that can
automatically send updated information for immediate display or viewing on
request. See push technology.
6) In computer and Internet marketing, a channel is a "middleman" between a
product creator and the marketplace. Value-added resellers (VAR) and retail store
chains are examples of channels in this context.
7) Using Internet Relay Chat, a channel is a specific chat group.
8) In IBM mainframe systems, a channel is a high bandwidth connection between a
processor and other processors, workstations, printers, and storage devices within a
relatively close proximity. It's also called a local connection as opposed to a remote
(or telecommunication) connection.
9) In a field-effect transistor (FET), a channel is the semiconductor path on which
current flows.
Related terms include: clear channel, channel extender, Fibre Channel, Fibre
Channel over IP, channel associated signaling, and channel bank.
A spreadsheet refers to a sheet of paper that shows accounting or other data in rows
and columns; a spreadsheet is also a computer application program that simulates a
physical spreadsheet by capturing, displaying, and manipulating data arranged in
201
rows and columns. The spreadsheet is one of the most popular uses of the personal
computer.
In a spreadsheet, spaces that hold items of data are called cells. Each cell is labeled
according to its placement (for example, A1, A2, A3...) and may have an absolute or
relative reference to the cells around it. A spreadsheet is generally designed to hold
numerical data and short text strings. Spreadsheets usually provide the ability to
portray data relationships graphically. Spreadsheets generally do not offer the
ability to structure and label data items as fully as a database and usually do not
offer the ability to query the database. In general, a spreadsheet is a much simpler
program than a database program.
Daniel Bricklin and Bob Frankston created the first spreadsheet application, VisiCalc
(for "visible calculator"). Lotus 1-2-3 came next, followed by Microsoft Excel. While
Lotus 1-2-3 was the first to introduce cell names and macros, Microsoft Excel
implemented a graphical user interface and the ability to point and click using a
mouse. There are many other spreadsheet applications on the market today; however,
Lotus 1-2-3 and Microsoft Excel continue to be the most popular.
Extranet
An extranet is a private network that uses Internet technology and the public
telecommunication system to securely share part of a business's information or
operations with suppliers, vendors, partners, customers, or other businesses. An
extranet can be viewed as part of a company's intranet that is extended to users
outside the company. It has also been described as a "state of mind" in which the
202
Internet is perceived as a way to do business with other companies as well as to sell
products to customers.
An extranet requires security and privacy. These can include firewall server
management, the issuance and use of digital certificates or similar means of user
authentication, encryption of messages, and the use of virtual private networks
(VPNs) that tunnel through the public network.
Companies can use an extranet to:
Exchange large volumes of data using Electronic Data Interchange (EDI)
? Share product catalogs exclusively with wholesalers or those "in the trade"
? Collaborate with other companies on joint development efforts
? Jointly develop and use training programs with other companies
? Provide or access services provided by one company to a group of other
companies, such as an online banking application managed by one company
on behalf of affiliated banks Share news of common interest exclusively
with partner companies
What is CRM (customer relationship management)?
CRM (customer relationship management) is an information industry term for
methodologies, software, and usually Internet capabilities that help an enterprise
manage customer relationships in an organized way. For example, an enterprise might
build a database about its customers that described relationships in sufficient detail so
that management, salespeople, people providing service, and perhaps the customer
directly could access information, match customer needs with product
203
plans and offerings, remind customers of service requirements, know what other
products a customer had purchased, and so forth.
According to one industry view, CRM consists of:
? Helping an enterprise to enable its marketing departments to identify and
target their best customers, manage marketing campaigns with clear goals
and objectives, and generate quality leads for the sales team.
? Assisting the organization to improve telesales, account, and sales
management by optimizing information shared by multiple employees, and
streamlining existing processes (for example, taking orders using mobile
devices)
? Allowing the formation of individualized relationships with customers, with
the aim of improving customer satisfaction and maximizing profits;
identifying the most profitable customers and providing them the highest
level of service.
? Providing employees with the information and processes necessary to know
their customers, understand their needs, and effectively build relationships
between the company, its customer base, and distribution partners
Successfully Implementing a Partner Relationship Management (PRM)
Solution
204
If indirect channels makeup a large portion of your overall sales strategy, meaning
that you sell more than let`s say 30% of your goods and/or services through
resellers, dealers, distributors, or retailers; then investing in a Partner Relationship
Management (PRM) solution may make sense for your business. Most of us that
have channel-related responsibilities know of, or have at least heard of, PRM. We
know the value that these software packages are intended to provide include:
reduced program administration costs, automation, greater program intelligence,
tighter partner collaboration, accountability measurement, and channel investment-
return calculation, just to name a few of the benefits that most PRM solutions tout.
However, if these tools are truly realizing the intended benefits, then why are many
manufacturers, vendors, and distributors abandoning their PRM systems?
The answer is simple. Many PRM systems are being abandoned because they are
not being used, neglected not by you the vendor, but by your partners. After all, if
the partners aren`t using the system, what`s the point? The common mistake that
most PRM solutions make is to focus 100% on providing the vendor with all the
capabilities an organization could possibly want. This commonly results in a
cluttered Graphical User Interface (GUI) with features and functions that may
seem impressive in a product demo during the tool selection process, but are less
impressive to your partners when they finally gain access to them and find the
system too difficult or time consuming to use. And herein lies the problem.
Rich features and functions are the heart of any software solution, no doubt. But how
these capabilities are presented to the user, how the user is expected to interact
with the system, and the value the system provides the users are most important in
a PRM solution. Why is this so important? The majority of the users
205
of the system exist outside of your enterprise. This means that you will have less
control of tool usage compliance. Certainly any PRM solution that you may
consider should have some level of compliance measurement built-in, but this will
not completely solve your partner technology adoption issue if the following
haven`t been considered.
Vendor Positioning and Rollout Strategy
Partners` use of the PRM solution will initially rely on how effectively they are
introduced to the technology. This means that the vendor strategy for
implementation is critical. Here are common mistakes that are made in the
rollout phase:
? Focusing on partner control features instead of partner value-add
? Not implementing the solution as a part of your business process
? Overlooking the effort required for complete buy-in within your own organization
to support the solution
? Rushing to rollout too many functions or programs without proper phasing.
Implement more than (2) new partner programs at once often lead to disasters.
? Lack of enforcement by other members of the Channel Team
? Lack of appropriate upfront tool training
? Lack of ongoing support
? Not designating a tool administrator or partner go-to person for tool questions
Choosing the Right PRM Solution
206
The ultimate users of your PRM solution are the partners. So why is it that most
PRM solution are chosen solely based on the capabilities that are provided to the
vendor? Beyond satisfying your requirements as a vendor, the tool should also
satisfy your partners` requirements as well. The best way to achieve compliance
with your partner community is to select a solution that provides the partners with
value. Tool capabilities should add value to the partner's business and better
enable them to sell your goods and services, not just monitor their success
selling your goods and services. The following are typical partner requirements
and questions to consider when choosing a solution.
? Ease of use
?woH ?ohw yB ?deniart eb ot deen srentrap lliW
W ?esu ot noitulos eht si evitiutni woH
hat is the learning curve?
?erehwyna morf dna ,7x42 ,ylisae noitulos eht ssecca srentrap naC
noitulos eht seod ro modnar ta atad wen rof hcraes ot deriuqer rentrap eht sI
push or notify partners of new data?
riuqer si emit srentrap eht fo hcum woH
ed to manage the
solution? ysae na yolpme metsys eht seoD
-on, easy-off
philosophy ?yllacol atad eganam rentrap eht naC
? Value add to the partner
?ssenisub rieht worg srentrap ssenisub ym gnipleh noitulos eht si woH
rentrap evig noitulos eht seoD
s greater access to my program information?
?egatnavda evititepmoc a rentrap eht evig noitulos eht seoD
?rentrap eht rof sessecorp ssenisub tnerruc evorpmi noitulos eht seoD
? Integration
ecalpsid ot rentrap eht ecrof dna evisurtni noitulos eht sI
other technologies that
207
they are using?
ydaerla yam srentrap taht snoitulos rehto htiw krow noitulos siht seod llew woH
have in place?
? Flexibility
llor ot evah I od ro margorp rentrap yb ro sesahp ni noitulos eht tnemelpmi I naC
out a broad solution with multiple partner programs at once?
?deen yllaer I taht leef I snoitcnuf eht ylno (rof yap dna) tnemelpmi tsuj I naC
,raey a sekat ti fi) shtnom 3 tuoba ni margorp wen a gnitnemelpmi etelpmoc I naC
watch out!)?
PRM Lifecycle
The rough potential scope of PRM looking at it as a subset of B2B Customer
Relationship Management, and like CRM to do with relationship lifecycles, only in
this case partners not customers is given below.
The five main buckets` of activity revolve around:
? Partner Strategy ? selection and recruitment ? not just channels but also alliances.
This is becoming increasingly important for Telco companies trying to reach and
develop 3G and Broadband markets, where their traditional skills and capabilities
require significant broadening. This has also applied for some time to IT hardware
manufacturers, which through alliances with software companies and relevant
channels can make themselves relevant to specific market segments through these
associations.
? Training, certification & informing ? getting partners up to speed and up to
standards that are in keeping with the brand promise.
? Collaboration ? in advance of and throughout the whole sales cycle
208
? Logistics and administrative support ? presales/post-sales
? Performance Management ?the discipline of managing important relationships
with strategically important partners ? both channel and alliance partners. Whilst
these aspects are not always truly sequential, they do give a view of the main
aspects of partner network interactions. This is why at the centre of the
relationship lifecycle I have placed a sphere: - Partner Network Development. The
idea being that PRM should not be solely about automating or e-enabling current
partner relationships,(indeed, I would argue that
this view is a major danger sign), but should be very deliberate and focused attempt
to generate competitive advantage through the development of an effective and
relevant partner network ? alliances as well as channels.
209
This networked` view is gaining currency at the moment due in part to the whole
e-business phenomenon, enabling real-time collaboration for relatively little cost.
David Ford Professor of Marketing at Bath University and a member of the
Industrial Marketing and Purchasing Group (IMP) which has been studying
networked relationships since 1976, states in his book Managing Business
Relationships` 1998, that marketing is the way that a company brings the benefits
210
of its own and other companies` technologies to its customers and integrates them
with their own`.
Technologies`, here also includes processes and skills and is not limited to the
hard stuff`. He argues that companies no longer compete with other companies, but
now it is a case of networks competing with networks, and to confuse matters
further, a firm can be a member of competing networks, which is pretty much
business as usual in the IT world. The difference however, is that rather than just
creating a collection of ad hoc relationships, driven by sales quota assigned to
channel or partner managers, a firm should take a strategic view and figure out :
? Which customers to serve?
? How does their ecosystem function?
? What do they or might they need given their context?
? How best to serve them ? now that we have dug behind to determine their
wants/needs and behaviours and how those are being shaped?
This brings into play the whole value creation and delivery network, and as markets
mature and organisations attempt to break out of the commoditised and low profit
environment that many find themselves in today, this networked view becomes of
paramount importance as the major source of generating competitive advantage at
speed.
Start with the strategy not the technology.
In recent times it has almost become a machismo thing, that strategy is seen as a
management exercise in hesitation and that execution is all that matters. This maybe
explains why so many firms have jumped to the conclusion e.g. implement software
211
from a market leader, and figure out why and how to make it work later. A very
high incidence of failure follows as a result. What this means is that whilst we
should not agonise over decisions and waste time, we can and should think things
through carefully so that what we implement has the desired effect in the market
place where it really counts. If you fail to do this bearing in mind that in PRM we
are dealing with a networked business environment, where the individual nodes`
are independent businesses; then I can almost guarantee failure. Too often decisions
on infrastructure systems are made by IT departments who have done their best to
interpret vague requirements given to them by senior management, who won`t
themselves spend time on thinking through what is really required. So my
unequivocal first recommendation is to figure out where you want to be, and what
part PRM should play in support of your strategic objectives 2-3 years out. If you
just focus on cost savings or efficiencies like improving procedures for allocating
market development funds, or administrative partner management processes, you
will miss the opportunity to develop competitive advantage and waste time on
developing something that can be easily replicated by your competitors. The other
major risk is that none of your efforts will appeal to your partners as they may well
perceive that you are trying to control costs at their expense. The degree of strategic
intent holds the key for generating value, not just for your firm but also your
partners.
Focus your strategy
Efficiency is great, effectiveness is even better. Any major program, (and PRM is
potentially a fairly large one), needs some lodestone to govern its progress and
outcome. This is what good strategy should do. If your strategic intent is really
212
focused on developing an effective partner network in order to crack open markets
or generate profitable growth by moving from commodity to higher value add
transactions, then one of the first thorny issues you will come across, is that more
than one department or part of the organisation owns` the go-to-market` strategy.
This is particularly true in large multinationals or global companies which are
organised along product not customer
or market lines. This same issue is one of the main causes of CRM failure. From an
outsiders point of view the obvious thing to do is to organise around customers or
markets. Experience shows that this requires too much political heat or a massive
crisis (of the sort faced by IBM at the start of the 90s) to gain traction. Therefore a
pragmatic approach is required that balances the individual product line needs with
the customer or market segment solution` needs. If you look at the IT market, it
soon becomes clear that much of the demand for products is derived and not direct.
A computer can be bought in its own right for its particular features ? a commodity
sale, or as a component linked to a number of other major elements ? infrastructure
sale, or possibly as part of a business system ? solution sale. In each case the reason
for the purchase is different, and will impact buyer behaviour. The product line
owners should be focused on the commodity and infrastructure sales where they can
increase the value of product shipped through cross selling and let the segment
managers (with full P&L accountability) coordinate them on the solution sale.
213
Whether or not strategy is the responsibility of a single department or a cross
departmental team, the value propositions and routes to market must have specific
customers or markets in mind. This is critical in order to work out:
? Relevant ecosystem of value adding partners
? Buyer behaviour
? Routes-to-market
? Strategic partners
In reality, many organisations already have established partners ? both alliance and
distribution, some specific to a geographical region or country and others more
global, especially in the corporate market. Where this is the case, it makes sense to
segment your partners by strategic importance as defined by your strategic
214
objectives and not necessarily historic revenue contribution. Some of these partners
are influencers and do not necessarily contribute any direct revenue, but they are
vital. In any case these will be the nucleus of partners that should now be the focus
of your PRM program.
Developing a win/win environment ? essential to PRM
It`s a truism that unless there is something in it` for your partners, it doesn`t matter
how sexy or sophisticated the solution, you simply won`t be able to generate the
change in behaviour that you are seeking. It is also very dangerous to treat all
partners the same and assume that what you are asking them to do will be so
obviously good for them that they will snap your hand off to play ball. They won`t.
Anyone who has been involved with a CRM program affecting many internal
stakeholders from different parts of the organisation will know just how tough it can
be to generate buy-in for change. Now magnify that by 100 and you will get some
idea of the real challenges confronting your organisation. A common refrain heard
by partners is the organisation is too difficult to deal with`. Another is they don`t
understand how we work`. Both are recipes for losing
competitive advantage, yet they can both be solved by taking the time up front to
work out what motivates partners or potential partners. Fundamentally they are in
business to make money, so if they can do that more effectively with you then
without you, you have developed competitive advantage. A place to start is to
recognise two things about partners.
? They have their own business model which may not always coincide with your
own.
215
? They may be changing their business model due to the same pressures you are
under.
Understanding how these independent businesses generate profits provides insights
into what is likely to motivate them. Better still find out from them by using
structured interview techniques to determine who does what best and what impact it
will have on their business, and how do you compare and where are you deficient?
An approach developed is called a Competitive Advantage Audit`. The aim o f this
is to find out what sources of competitive advantage have been left on the table` by
competitors and what value your partners can gain from your PRM program. As
you can see from the PRM lifecycle diagram there are many activities and areas that
can be assessed, and also addressed by some of the more sophisticated PRM
systems. The output from this very focused piece of work can be used to build
partner consensus early on as well as give you insights into the returns you can
expect from the PRM program. Part of the success of business networks can be
attributed to the culture that surrounds them. In the days when markets were
expanding at breakneck speed, attention to value add within the network, did not
seem so important. When yearend figures looked less than rosy, the answer was
often to ask the channel to order more than was needed. This channel stuffing`
approach no longer works. Especially as many markets have stalled. Product
lifecycles are too short, so when the music stops, no one wants to be holding the
package, and with collaborative supply chains and improved logistics now common
place there is no longer any legitimate need to take much more product than is
really required by the end customer. Power has also shifted to the channel from the
vendor or to the visible value add provider (perhaps an independent software or
content provider) from the vendor in the case of alliances. Standards have also
216
predominated such that neither channel or alliance partners are locked in` to
partnerships. This focus on mutual value add within the network is absolutely
crucial and needs to be embedded in the culture through effective internal
communications and appropriate reward systems. These should be key supporting
elements of any PRM program.
Build up the ROI picture early to avoid disappointment!
One other critical factor, before attempting to implement any PRM solution is to
determine potential returns on investment.
This is where a small multi-disciplinary team can provide support in both
understanding the nature of the challenges to be faced and the financial
consequences of strategic choices that your firm will face. One of the great
disappointments of CRM programs has been their apparent failure to demonstrate
any real return on investment. This is partly due to the lemming-like rush to
implement software, but also to the lack of a disciplined
217
218
approach to major projects. Ensure that ROI is anticipated and used to build the
supporting business case for any PRM application implementation or organisational
change. The outcome of the competitive advantage audit together with the ROI
findings will help in assessing what must be done, and the importance of timing.
This leads to the PRM roadmap.
A PRM program may involve many aspects of business across the entire partner
relationship lifecycle. It is also certain that it will need to dovetail into existing
infrastructure that will be different for each company. By focusing on the high
impact aspects, some of which may be easy to implement and others more
challenging, and driven by a solid business case, a sensible timeline and focus of
activities can be determined that can also be absorbed by the firm and its partners.
Whilst every firm will say its employees are its most important asset, the reality is
that most of them are rushing around and have little time to apply creative thinking
to solve business problems. One could understand the panic created by sharp
competitors seemingly doing everything right whilst we did everything wrong, the
real winners out there in the PRM space will be the those who take a step back and
think, then act swiftly, rather than those who react or simply create heat. Hence
? Think strategically ? however clever you think your competitors are there will
always be a source of competitive advantage they have missed, and their calm
exterior belies the internal panic that surrounds them. To continue the animal
analogies, under the water they are paddling like crazy and are equally starved of
customer or market insights.
? Work from the market backwards ? understand the ecosystems and potential for
your company. Are you a Johnny-come-lately` and if so, is there really much 219
potential there for you or would you be better exploring and focusing on
alternatives?
? Act decisively with discipline ? the window is closing and there is only one
chance to get it right.
? Take a hard-nosed approach on ROI. You will no doubt be competing with other
internal projects that appear equally worthy.
? Get that competitive advantage audit going to root your decisions in the
collaborative and mutually supportive culture that you will need to engender.
? Work with a few of your strategic partners to ensure that they are continually
buying in to your vision and its execution. This will create the dynamic for success.
ACTIVITY :
1. Write short notes on PRM and its significance .
2. What are the "partner requirements" and questions to be considered when
choosing a right PRM solution?
3. Highlight the relation between ROI and PRM.
4. Elaborate in detail the PRM lifecycle.
220
Unit 4 Analytical CRM
________________________________________________________________
Objectives
In this section, we will introduce you to the concepts of Analytical CRM, Customer
information databases, Ethics and legalities of data use, Data Warehousing and Data
mining, Market Basket Analysis (MBA), Click stream Analysis, Personalisation
and Collaborative Filtering.
After you go through this unit, you should be able to understand :
? the concept of Analytical CRM & it`s benefits.
? the importance of managing and sharing customer data & best
practices in managing customer data.
? Customer Information Database and it`s uses.
? capturing customer information and the critical issues in building
a customer database.
? ethics and legalities of data use.
? ethical issues in web data mining.
? the concept of Data Warehousing.
? history of Data Warehousing & components of Data Warehousing.
? advantages of and concerns in using Data Warehouse.
? the concept of Data Mining.
? Data Mining Techniques & types of Data Mining.
? issues and challenges in Data Mining.
? Data Mining application areas.
? the concept of Market Basket Analysis (MBA).
? methodology, merits & limitations of Market Basket Analysis.
? applications of Market Basket Analysis.
? the concept of Click stream Analysis.
? challenges of tracking with Click stream Data.
? specific dimensions for the Click stream.
? integrating the Click stream Data Mart into the Enterprise
Data Warehouse.
? Personalisation.
? the concept of Collaborative filtering.
? history, methodology & types of Collaborative filtering.
221
In this section, we have discussed the following :
4.1. Analytical CRM
4.1.1. Benefits of Analytical CRM
4.2. Managing and sharing customer data
4.2.1. Benefits of Customer data management
4.2.2. Best practices in managing customer data
4.3. Customer Information Database
4.3.1. Use of customer database
4.3.2. Capturing customer information
4.3.3. Building a customer database - the critical issues
4.4. Ethics and legalities of data use
4.4.1. Ethical and Social Considerations of Customer Information
Systems
4.4.2. Ethical issues in web data mining
4.5. Data Warehousing
4.5.1. History of data warehousing
4.5.2. Components of a data warehouse
4.5.3. Advantages of using data warehouse
4.5.4. Concerns in using data warehouse
4.6. Data Mining
4.6.1.Definitions
4.6.2. KDD vs. Data Mining
4.6.3. Data Mining Techniques
4.6.4. Types of Data Mining
4.6.5. Issues and challenges in Data Mining
4.6.6. Data Mining application areas
4.7. Market Basket Analysis (MBA)
4.7.1. Methodology
4.7.2. Merits
4.7.3. Limitations
4.7.4. Applications of MBA
4.8. Click stream Analysis
4.8.1. Challenges of Tracking with Clickstream Data
4.8.2. Specific Dimensions for the Clickstream
4.8.3. Integrating the Clickstream Data Mart into the Enterprise Data
Warehouse
4.9. Personalisation
4.10. Collaborative filtering
4.10.1. History
4.10.2. Methodology
222
4.10.3. Types of Collaborative filtering
4.1. Analytical CRM
CRM is a new paradigm for gearing all activities of a firm to customer
needs to identify suitable marketing opportunities and to mine the profit potential of
a customer over the long term. Analyzing customer relationships from a lifetime
perspective is critical for success for an organisation. The problem of developing
customer base resides in the following :
- Widening the relationship with customers by acquiring new and profitable
customers.
- Lengthening the relationship with customers by targeting existing resources and
strengthening the foundation of those relationships.
- Deepening the relationship with customers by transforming minor customers into
highly profitable ones. An additional step is increasing the share of sales revenue
(and hence the share of wallet), or recognizing cross-selling or up-selling
opportunities with current customers and making the right offers.
Achieving these tasks involves extensively analyzing the customer data.
This type of analysis is one of the major purposes of Analytical CRM. To widen
the customer relationships, the firm should consider the factors like :
- the kind of customers to be acquired
- the kind of customers who will drive the growth in future and
- the type of new customers, who are likely to be interested in the firm`s products.
To lengthen the customer relationships, a firm needs to answer following questions:
- Which customers in particular it want to keep?
- Which customers will drive most of the profits?
- Which customers might switch to the competitors and why?
223
- Which customers are dissatisfied with the services and products of the firm?
The changed market situation means that knowledge about the value of a customer
or a customer segment is decisive for the company's success. Once the firm has this
knowledge, this can be used to allocate resources more efficiently to the most
desirable customers and to re-engineer the unprofitable ones. Customer information
must be kept consistent throughout, and it must be available across all the touch
points where the company interacts with its customers. Decisions about how to
develop a relationship with customers should be reflected in all interactions and
planning with customers.
Analytical CRM is a consistent suite of analytical applications that help the
firm to measure, predict, and optimize customer relationships. To address these
business issues, analytical CRM includes a sound analytical infrastructure that
allows to gather all the relevant information about customers and organise it
consistently. Thus, a 360-degree view of customers can be achieved, which then
forms the basis for wide-ranging analytical methods that help to measure and build
truly interactive, mutually beneficial, and profitable relationships. Mastering the
following is key for a successful analytical CRM solution:
- Capturing all relevant customer information from different sources, channels, and
touch-points and then integrating it into a customer knowledge base with a 360?
view.
- Applying a comprehensive set of analytical methods to measure and optimize
customer relationships and answering all relevant business questions.
- Deploying analytical results to improve the CRM processes, interactions with
customers, and business planning with customers.
- Integrating customer value with shareholder value and strategic enterprise
management.
224
4.1.1. Benefits of Analytical CRM
Analytical CRM can make a considerable contribution toward providing the
answers to numerous questions and thereby support a whole range of business
decisions. The analytical capabilities allow a firm to identify new trends in the
markets and then to channel the investments in these markets. They also help you
gain further insights into customer needs and preferences by identifying patterns to :
- Acquire new profitable customers.
- Improve the firm`s relationships with existing customers by addressing their
individual needs.
- Optimize cross-selling and up-selling opportunities.
- Improve customer loyalty and reduce customers' propensity to churn.
Analytical CRM also enables to gear all the processes of a firm toward customer-
centricity and thereby :
- Aim the firm`s resources at high-value customers and build more profitable
customer relationships by:
+ Targeting the investments in marketing, sales, and service.
+ Directing firm`s attention and services more effectively toward such
customers.
+ Forcing internal efficiencies and process improvements.
+Automate and personalize customer interactions based on sound customer
knowledge.
+ Integrate the firm`s overall strategies with its strategies in marketing, sales
and service.
With Analytical CRM, a firm can increase profits by as much as 100% by retaining
an additional 5% of their customers. By some estimates, it costs four to seven times
more to replace a customer than it does to keep one.
225
Activity 4.1.
Discuss the objectives and benefits of Analytical CRM.
4.2. Managing and sharing customer data
Every manager would agree that more and better customer knowledge can
bring economic benefits to a company. Some companies are doing impressive
things with customer data. A few even manage to turn some of it into knowledge.
But many companies are finding it difficult to manage the customer data. One
difficulty is that customer knowledge is widely dispersed around a company. Each
business function in an organisation usually has its own interests regarding
customer information, its own way of recording what it learns and perhaps even its
own customer information system. The disparate interests of departments make it
difficult to pull together customer knowledge in one common format and place.
Customer information and knowledge also inspire a high level of politics
and passion. The salesperson with valuable customer information on index cards,
the service department with valuable information on what customers thinks about
new products, the marketing department with highly detailed customer attitudes and
behavior from focus groups and surveys - all have some reason to keep control of
what they know about customers. Senior general managers, however, generally
prefer to make customer knowledge an organizational resource and therein lies the
conflict. Another factor making the management of customer knowledge difficult is
the fact that there are several different types, each of which must be managed with a
different approach. The first type is data-derived customer knowledge that
originates in transaction systems. We typically think of this type of knowledge as
involving consumers, but it can also be about business customers.
226
Managing this stuff involves several S's:
Strategy : Defining what information is really important and what customer
behavior really counts.
Standards : Ensuring that "customer" and other related terms mean the same
thing throughout the organization.
Systems : Allotting sufficient processing power to process all the data.
Statistics : Turning data into knowledge through statistical processing.
Smart people : Finding smart people to structure and interpret the analysis of
customer data.
Five Ss of managing customer data
Strategy
Standards
Systems
Smart people
Statistics
Another type of customer knowledge is tacit--unstructured, difficult-to-
express knowledge that we observe or sense about our customers. The voice of the
market never speaks clearly, and we often have to intuit messages from customers at
the sub-rational level. Every good salesperson tries to elicit some tacit knowledge
from a customer in the form of body language, facial expressions or other "vibes."
Some market research experts now argue that customer opinions about products and
marketing messages can best be understood in tacit forms of expression. Tacit
customer knowledge can be just as important to sales and marketing functions as the
other types of customer knowledge. The good aspect about tacit knowledge is that
much of it can be converted through various means to explicit human knowledge
and thus made more permanent and transferable. The bad thing is that
227
doing so is difficult. It requires continual observation, careful analysis of customer
behavior and a patient disposition. When managed well and applied to various
customer-facing business processes, customer knowledge can increase customer
purchase and retention levels, save money by directing marketing efforts at
customers who will respond to them, and yield products and services that customers
really want in the first place.
4.2.1. Benefits of Customer data management
Customer data is critical to every business. Accurate customer information
enables the firm`s sales, service and marketing teams to target specific customers
through an in-depth understanding of customers. A thorough and consistent analysis
of customer touch points is critical.
For example consider a retail business. Retailers capture customer data
through an ever-widening array of tools. Customer data is difficult for a retailer to
manage due to the sheer volume of customers with constantly evolving personal
and transactional information. Data therefore needs to be continually managed for it
to remain of quality and use to the business.
Effective data management provides a number of business benefits :
- increased sales through better knowledge of customer needs
- improved efficiency of business processes by eliminating duplication and wasted
data collection
- increased compliance and data security through standardisation and centralisation
of data.
Other benefits are :
Generating customer insight
Segmenting customers
Building innovation
228
Building effective communications &
Creating loyalty
i. Generating customer insight
Customer insight is an understanding of consumer behaviour that has the
potential to drive mutual benefit. It is the bedrock of any customer-facing
organisation and drives long-term growth in shareholder value. Most of the value
that shareholders assign to companies is based on expectations of returns beyond
the period for which forecasts exist. A business`s pipeline of future cash is driven
by improving returns on equity, sustaining growth, reducing uncertainty,
accelerating future cash and extending time horizons. Customer insight enables
superior business performance against these criteria by creating the basis for
compelling differentiation, relentless innovation, the development of strong brands
and relationships, faster market penetration and development of the best portfolio of
product options.
Most retailers acknowledge that information about consumers is critical to
success, but their ways of working are often internally focused, and don`t focus on
the need for real insight as the primary means of generating demand long term. This
lack of recognition of the importance of generating real consumer insight often
stems from current business success, or from a focus on local markets disguising
the need for consumer insight. However, retailers need to address this. A failure to
generate and make use of consumer insight in day-to-day operations will lead to
lower shareholder value.
ii. Segmenting customers
Customer segmentation is a basic marketing technique and is at the heart of
retailers` marketing strategy and is essential to the way that successful retailers run
their business. It is used to drive the profitability of the business by understanding
229
the needs and wants of customers more effectively, and delivering benefit to the
customer against each of those needs and wants. Each customer has different needs
and is therefore potentially a separate market. One-to-one marketing is a great idea
but it may not be economical to market directly to each customer. Some customers
will be more profitable than others and some may not want a relationship at all.
Market segmentation divides large, heterogeneous customer groups into smaller,
more manageable segments that can be targeted more efficiently. After
segmentation, each of the segments can be evaluated and attractive segments
targeted. A customer value proposition for the segment can then be developed.
Retailers should also be aware that customers, who may look alike, don`t
necessarily act alike, and therefore it is critical to consider segmentation by
customer needs and attitudes as well as by customer characteristic.
iii. Building innovation
Innovation is critical to retailers in today`s highly competitive market.
Retailers need to use innovation to move a step ahead of competitors, not just in
customer-facing activities, but in all areas of the business. Innovation means many
different things to different people, though one thing all successful, consistently
innovative businesses have in common is a clear innovations strategy aligned with
business objectives. Key innovation enablers, which together make up the
successful innovations strategy are :
Receptive culture : Leadership needs to make innovation a strategic priority
and encourage the gathering and sharing of ideas and market data from all areas
inside and outside the organisation. The quest for innovation needs to be sponsored
and recognised from the top.
230
Ideas management : New ideas must be validated, quantified and assessed for
risk before deciding whether to develop. Ideas must be prioritised and the full
business impact assessed. New ideas are one thing, successful innovation is another.
Efficient processes : Processes must provide a clear implementation approach
for the initiative and be continuously reviewed to deliver strategy and measure
results.
Momentum : Momentum and energy are needed in order to speedily convert
an idea into a value-add application that keeps the organisation ahead of the
competition. Devolved decision-making and step-by-step implementation creates
momentum and dispels uncertainty and anxiety.
Effective communications : Effective communication channels ensure that
roles and responsibilities are clearly defined, enabling multi-functional teams to
leverage expertise and cross-fertilise ideas.
iv. Building effective communications
A retailer`s wide range of produce, typically targeted towards a wide range
of audiences, makes effective marketing communications both extremely
complicated and vital for success. The retail environment is continually adapting to
changing customer demands, market variables and competitor activities. As a result
product and service offerings, and pricing and promotional strategies, must be
constantly adapted. However, these changes must be effectively communicated,
both internally and externally, for them to be successfully implemented and
accepted by customers.
v. Creating loyalty
Retailing is all about serving customers - but the very convenience of
shopping in physical stores can mean that customers come and go, while the retailer
has limited knowledge of the relationship with them. In the current competitive 231
climate, retailers need to develop a long-term relationship with their customers, and
create a satisfying shopping experience that keeps them coming back. New retail
channels and technologies can offer cost-effective means to track and enhance
customer relationships, both emotional and financial.
Any business can reap all these benefits only through efficient and effective
management of customer data.
Activity 4.2.
Discuss the benefits of customer data management.
4.2.2. Best practices in managing customer data
Effective customer data management doesn't require a massive master data
management platform. Customer Data Management (CDM) is a subset of Master
Data Management (MDM) that refers to the practice of synchronizing and
standardizing customer data. Effective CDM is not just about having integrated,
clean customer data, it's about leveraging data to increase revenue and profitability.
Following are the best practices that will help to achieve a return on investment
(ROI) from customer data management (CDM) :
i. Automate CDM : The biggest challenge with CDM is extracting and normalizing
customer data from multiple sources. To solve this problem, firms can automate the
entire customer data management system.
ii. Increase organizational visibility and role-based access : CDM should give
employees greater visibility to customers, channels, distributors and stakeholders.
Role-based access to customer data enables functionally appropriate views into
customer data and is an important way to optimize customer interactions and
operational decision making.
232
iii. Centralize CDM by location or division : Centralizing CDM by location or
Division will help the firm to test processes, fix problems and develop best
practices.
iv. Develop data stewardship programs : Cross-functional data stewardship and
establishing ultimate accountability for customer data is as important as technology
for CDM. Clearly defined roles and responsibilities and internal cross-functional
teams are the critical factors for the success of CDM.
v. Organizational and executive support : Getting organizational and executive
support is important for CDM. For CDM to be successful, consider it`s impact on
various departments, prioritize accordingly, and tie CDM to overall corporate goals
and strategies.
4.3. Customer Information Database
A customer database is an organised collection of comprehensive
information about individual customers or prospects that is current, accessible, and
actionable for such marketing purposes as lead generation, lead qualification, sale of
a product or service, or maintenance of customer relationships. Database marketing
- the predecessor of CRM - is the process of building, maintaining, and using a
customer database and other databases (product, suppliers, resellers) for the purpose
of contacting, transacting, and building relationships. Companies collect customer
information through customer transactions, registration information, telephone
queries, cookie information, and information from every contact with a customer at
different touch-points. A customer database includes information about a
customer`s past purchases, demographics (age, income, family members, birthdays),
psychographics (activities, interests, and opinions), mediagraphics (preferred
media), and other useful information.
233
The customer database is the central repository of all of the information
pertaining to the relationship of a business and its customers. Since database
architecture is not very efficient for analytical applications, CRM uses a data
warehouse for storing customer information. Through data mining, marketing
statisticians can extract useful information about individuals, trends, and segments
from the mass of data. The database stores all information about the customer, such
as:
Individual-related information :
Name
Addresses
Age
Income
Spouse
Children
Home ownership
Pets
Hobbies
Sports interests
Company-related information :
Name
Addresses
Number of employees
Revenue
Standard industry codes (SICs, that define business types)
Individual buying behaviour
Site buying behaviour.
The database keeps track of all contacts by/with the customer, including:
Customer-initiated contacts
Purchase transactions
234
Calls
Comments
Returns
Service calls
Complaints
Company-initiated contacts
Promotional offers
Letters
Calls
Personal visits
The following information can be derived from the data stored in the database:
Recent purchase : When has the customer last purchased something from the
company - a measure of retention.
Frequency : The number of purchases the customer has made from the company
within a specified time frame.
Monetary Value : The amount the customer has spent on purchases from the
company, again within a specified time frame.
Demographic and lifestyle append : Information about the customer other than
purchase transactions, including the customer`s age, income, number and ages of
children, interests, and hobbies. CRM uses this information to gain a better
understanding of what a customer will value about a relationship with the company,
which core products or services or benefits will have the most value, and why these
benefits are important to the individual.
Modeling variables : The weight of the stored variables in predicting the customer`s
profitability.
4.3.1. Use of customer database
The behavioural data included in the customer database is used for the following
promotional purposes:
235
Customer acquisition (identifying prospects) : One of the ways companies can
generate sales leads is by advertising their products or services through
advertisements that include a response feature, such as a business reply card or a
toll-free phone number. The database is built from these responses. The database
can be sorted to identify the best prospects who can then be contacted by e-mail,
phone, or personal calls in an attempt to convert them into customers.
Customer retention (deepening customer loyalty) : The data is used to identify
individuals at risk of attrition (also called churn prediction) so that they can be
targeted with special promotional activities. Companies can create interest and
enthusiasm in customers by making offers that match their preferences, by sending
appropriate gifts, discount coupons, and interesting promotional materials.
Increasing share of wallet by identifying which customers should receive a
particular offer : Data is used to help companies up-sell and cross-sell their
products and services to specific customers for added profit. Companies set up
criteria describing the ideal target customer for a particular offer. The database is
scanned for those who most closely resemble the ideal type. Targeting precision can
be improved over time by observing response rates. An automatic sequence of
activities can be set up to follow a sale, for example a thank you note` to be
followed by a new offer after some time.
Reactivating customers by making attractive timely offers : Companies can install
automatic mailing programmes (automatic marketing) that send out birthday or
anniversary cards, festival shopping reminders, or off-season promotions.
Avoiding mistakes while interacting with customers : Different staff members of the
company might interact with the same customer separately and provide inconsistent
or contradictory information. Staff might fail to recognise a premium customer or
somebody related to a premium customer and treat them as ordinary customers,
236
leading to the risk of attrition. Such mistakes can be avoided if the people
interacting with the customer access the updated customer profile.
4.3.2. Capturing customer information
Capturing customer information is the foundation of Customer Relationship
Management (CRM) and can spell success or failure for any CRM programme.
Data capture can either improve customer relationships or destroy them.
Transaction processing systems also collect data but they only provide a mechanical
description of the transaction, which in reality is a much richer event--at least from
the marketing point of view. For example, a customer order entered in a transaction
processing system describes what was ordered and when, and what was the price.
But it tells nothing about why and how the customer ordered the product. It contains
no information that can be used for up-selling and cross-selling products to this
customer. It is not practical to capture all the details of every transaction; and most
customers won`t like the intrusion into their lives that such data collection entails.
The idea is to capture the most useful information and maximise its value.
Most businesses have to deliver their products through intermediaries. This
complicates their relationship with customers. Examples of intermediaries include
doctors for pharmaceutical companies, agents for insurance companies, wholesalers
and retailers for fast-moving consumer goods (FMCG) companies. In such
businesses the data collected is not only about customers but also about important
intermediaries.
4.3.3. Building a customer database - the critical issues
Ensuring employee acceptance and implementation : Company representatives
must be fully aware of data protection issues, such as how customer information
will be used. CRM literature should include customer rights and how information
will be used.
237
Explaining data capture to the customer : A CRM programme must be
communicated properly and not as an intrusive data capture effort. It is important
and desirable to be honest and informative with your customers and also with your
company representatives about how customer information will be used. In many
countries it is the law. Explaining how the information will serve the customer and
convincing customers about the programme`s benefits for them is critical to the
success of any CRM programme.
Reiterating programme objectives and benefits and thanking the customer at each
communication : Data capture is just the start. Each subsequent communication to
the customer should reiterate programme objectives, reinforce benefits, and thank
the customer.
Activity 4. 3.
Prepare a report on the role of customer data base in a retailing firm.
4.4. Ethics and legalities of data use
Business ethics is a form of applied ethics that examines ethical rules and
principles within a commercial context, the various moral or ethical problems that
can arise in a business setting, and any special duties or obligations that apply to
persons who are engaged in Business. Companies can maintain consumers' trust,
and their business, by safeguarding personal data.
Customer privacy measures are those taken by commercial organizations to ensure
that confidential customer data is not stolen or abused. Since most such
organizations have a strong competitive incentive to retain an exclusive access to
this data, and since customer trust is usually a high priority, most companies take
some security engineering measures to protect customer privacy.
238
However, these vary in effectiveness, and would not typically meet the
much higher standards of client confidentiality applied by ethical codes or legal
codes. Since they operate for-profit, commercial organizations also cannot spend an
unlimited amount on precautions and remain competitive - a commercial context
tends to limit privacy measures, and to motivate organizations to share data when
working in partnership. This has led to many moral hazards and outrageous
customer privacy violation incidents, and has led to consumer privacy laws in most
countries, especially in the European Union, Australia, New Zealand and Canada.
Some services, notably telecommunications including Internet, imply collecting a
vast array of information about user's activities in the course of things, and may also
require consultation of this data to prepare bills. Telecom data must be kept for
seven years in the US and Canada, to permit dispute and consultation about phone
charges. Telecom regulation has always enforced a high level of confidentiality on
these very sensitive customer communication bills and the underlying records.
However, this approach has to a degree been outmoded as other industries also now
gather sensitive data.
Such common commercial measures as software-based customer relationship
management, rewards programs and target marketing tend to drastically increase the
amount of information gathered (and sometimes shared). These very drastically
increase privacy risks, and have accelerated the shift to regulation, rather than
relying on corporate desire to preserve goodwill.
Consumer privacy laws and regulations seek to protect any individual from
loss of privacy due to failures or limitations of corporate customer privacy
measures. They recognize that the damage done by privacy loss is typically not
measurable, nor can it be undone, and that commercial organizations have little or
no interest in taking unprofitable measures to drastically increase privacy of
239
customers - indeed, their motivation is very often quite the opposite, to share data
for commercial advantage, and to fail to officially recognize it as sensitive, so as to
avoid legal liability for lapses of security that may occur.
Consumer privacy concerns date back to the first commercial couriers and
bankers, who in every culture took strong measures to protect customer privacy, but
also in every culture tended to be subject to very harsh punitive measures for
failures to keep a customer's information private.
Today the ethical codes of most professions very clearly specify privacy measures.
Modern consumer privacy law in a recognizable form originated in telecom
regulation. The data gathering required for billing began to become an obvious
privacy risk as well. Accordingly, strong rules on operator behavior, customer
confidentiality, records keeping and destruction were enforced on telecom sector in
every country. Through the 1970s many other organizations in developed nations
began to acquire sensitive data, but there were few or no regulations in place to
prevent them from sharing or abusing it. Customer trust and goodwill was generally
thought to be sufficient in some nations, notably the United States, to ensure
protection of truly sensitive data. But in the 1980s much smaller organizations
began to get access to computer hardware and software, and these simply did not
have the procedures or personnel or expertise, nor less the time, to take rigorous
measures to protect their customers. Meanwhile, via target marketing and rewards
programs, they were acquiring ever more data.
Gradually, customer privacy measures alone proved insufficient to deal with
the many hazards of corporate data sharing, corporate mergers, employee turnover,
theft of hard drives or other data-carrying hardware from work. Talk began to turn
to explicit regulation, especially in the European Union, where each nation had laws
that were incompatible, e.g. some restricted the collection, some the compilation,
240
and some the dissemination of data, and it was possible to violate anyone's privacy
within the EU simply by doing these things from different places in the European
Common Market as it existed before 1992. Through the 1990s the proliferation of
mobile telecom, the introduction of customer relationship management and the use
of the Internet by the public in all developed nations, brought the situation to a
head, and most countries had to implement strong consumer privacy laws, usually
over the objections of business. In US, there is no national law for data protection.
However, there are industry specific regulations. The HIPAA (Health Insurance
Portability and Accountability Act) privacy rule for the Healthcare Industry and the
Gramm-Leach-Bliley (GLB) acts for the Financial Services sector are two good
examples. Citizens can legally waive their rights to personal privacy.
Privacy legislations across the globe :
- Canada: Personal Information Protection and Electronic document
act, April 13, 2000.
- USA: Health Insurance Portability and Accountability Act (HIPAA)
1996, Children`s Online Privacy Protection Act 1998, Gramm-
Leach-Bliley Act 1999.
- Europe: Data Protection Directive 1995,
Telecommunications Directive 1997.
- Australia: The privacy amendment act, 2000.
- Japan: Guidelines concerning the protection of personal
information associated with electronic computer data processing in
the private sector, 1989.
4.4.1. Ethical and Social Considerations of Customer Information Systems
Key ethical issues in the information age, including the increased ubiquity
of computerised databases, are often popularly summarised under the four headings
privacy, accuracy, property, access (labelled with the acronym P-A-P-A).
241
- Privacy : the ability of people to keep personal information about themselves
private and confidential; how the widespread holding of personal information about
people impacts on interpersonal relations of trust, autonomy, and dignity;
- Accuracy : the quality and accuracy of data/information held in databases, and on
which organizations act, assuming the data/information to be correct;
- Property : information ownership and control--who owns personal information
about an individual, and who has the right to use it, or control its use; and
- Accessibility : access of members of society to the social store of information.
The participation of citizens in the ordinary processes of daily life such as shopping,
banking, travel, healthcare, and education all result in a data trail about the
activities, preferences, and even thoughts of individuals - data collection is
embedded in organisational and social processes. Since it is increasingly essential
for citizens to use the information technologies to bank, shop, or work, people tend
to resign themselves to the loss of privacy. The increasing use of the Internet and
electronic commerce brings the collection of personal data into sharp focus, posing
particular challenges for privacy and security of personal information. Mere entry
of a user to an Internet site triggers the accumulation or use of a user`s demographic
and psychographic data.
Controversially, some organisations have been involved in using their
customer databases simply as assets to be exploited by selling the data to other
firms, including marketers. In considering ethical aspects of customer information
systems, the P-A-P-A model presents a useful tool for surfacing a range of relevant
issues, but it seems inadequate in getting to the core social and political issues.
Whilst the model surfaces issues of privacy, accuracy, property rights, and
accessibility, the deeper social and political concerns of access, equity, alienation
and exclusion remain obscured. The philosophy of user fees and charges, in an
242
environment where access to information is increasingly reserved for those who
have the capacity to pay extends well beyond access to and charges for information.
The key access issue in relation to customer information systems does not revolve
around who has access to the information
held in databases (as suggested by the P-A-P-A model), but how the use of that
information by powerful corporate players affects the access of people-especially
the poor and disadvantaged - to basic goods and services.
Information systems ethics require a central understanding of how
information technologies affect human choice, human action, and human potential.
Social integration is an important part of business ethics, and therefore of business
responsibility, making it vital that information systems professional recognise that
the creation of customer information systems is not a technical issue alone. The
ethical implications of customer information systems cannot be considered in a
simplistic way. The complexity of interrelations between customer information
systems, customer accounting, and the marketing function of organisations, and the
ultimate uses of customer databases need to be considered.
4.4.2. Ethical issues in web data mining
The World Wide Web can be seen as the largest database in the world. This
huge, and ever-growing amount of data is a fertile area for data mining research. The
important ethical issue with data mining is that, if someone is not aware that the
information/ knowledge is being collected or of how it will be used, he/she has no
opportunity to consent or withhold consent for its collection and use. This invisible
information gathering is common on the Web. Knowledge discovered whilst mining the
web could pose a threat to people, when, for instance, personal data is misused, or is
used for a purpose other than the one for which it is supplied (secondary use). This
same knowledge, however, can bring lots of advantages. Knowledge
243
discovered through data mining is important for all sorts of applications involving
planning and control. There are some specific benefits of web-data mining like
improving the intelligence of search engines. Web-data mining can also be used for
marketing intelligence by analysing a web user`s on-line behaviour, and turning this
information into marketing knowledge. It should be noted that ethical issues can
arise from mining web data that do not involve personal data at all, such as
technical data on cars, or data on different kinds of animals. In this section, we shall
point out that web-data mining, which involves the use of personal data of some
kind, can lead to the disruption of some important normative values. One of the
most obvious ethical objections lies in the possible violation of peoples`
(informational) privacy. Protecting the privacy of users of the Internet is an
important issue.
Informational privacy mainly concerns the control of information about
oneself. It refers to the ability of the individual to protect information about himself.
The privacy can be violated when information concerning an individual is obtained,
used, or disseminated, especially if this occurs without their knowledge or consent.
Privacy issues due to web mining often fall within this category of informational
privacy. When information is discovered through web data mining, someone`s
privacy might be directly violated in the process. When the information is classified
and clustered into profiles, and then used for decision-making, people could feel
violated in their privacy.
Possible arguments against the danger of web-data mining
i Web-data mining itself does not give rise to new ethical issues.
ii There are laws to protect private information, and on-line privacy statements
guarantee privacy.
244
iii. As people can refuse to give out information about themselves, they do have
some power to control their relationship with private and public organisations.
Many individuals simply choose to give up their privacy.
iv. The data collected is not of a personal nature, and most web-data mining
applications result in anonymous profiles.
v. Data mining techniques will provide more accurate and more detailed
information, which can lead to better and fairer judgements. So, web-data mining
leads to less unwanted marketing approaches.
vi Personalisation leads to individualisation instead of de-individualisation. Most
customers like to be recognised, and treated as a special customer. So it is not
considered a violation of privacy to analyse usage interaction.
Possible solutions
There are means to solve some problems with respect to privacy in the
ethical context of web-data mining. Solutions can be at an individual level and at a
collective level. Solutions at an individual level, include actions an individual can
take in order to protect himself/herself against possible harms. For example, using
privacy enhancing technologies, being cautious when providing (personal)
information on-line, checking privacy policies on web sites etc are the solutions.
The solutions at a collective level refer to things that could be done by society
(government, businesses, or other organisations) to prevent web-data mining from
causing any harm. For example, further development of privacy enhancing
technologies, publishing privacy policies, monitoring web mining activities, legal
measures, creating awareness amongst web users and web data miners etc are the
possible solutions at a collective level. A mixture of technical and non-technical
solutions at both the individual and the collective level is probably required to solve
some of the problems.
245
Activity 4. 4.
Discuss the ethical issues in web data mining.
4.5. Data Warehousing
A Data warehouse is an application with a computer database that collects,
integrates and stores an organization's data with the aim of producing accurate and
timely management of information and support for analysis techniques, such as data
mining. It is a repository of an organization's data, where the informational assets of
the organization are stored and managed, to support various activities such as
reporting, analysis, decision-making, as well as other activities such as support for
optimization of organizational operational processes. An enterprise data warehouse
is the sole historical register of virtually all transactions and important operational
events that occur in the life of an organization. This data is ultimately stored and
cataloged for immediate and future utilization in various forms, such as deployment
into some application. It is through these various uses and deployments that this
data becomes information, to be potentially exploited for benefit.
Bill Inmon's formal systems definition of a data warehouse is a computer
database and its supporting components that is:
subject-oriented, meaning that the data in the database is organised so that
all the data elements relating to the same real-world event or object are linked
together;
Time-variant, meaning that the changes to the data in the database are
tracked and recorded so that reports can be produced showing changes over time;
Non-volatile, meaning that data in the database is never over-written or
deleted, but retained for future reporting; and,
246
Integrated, meaning that the database contains data from most or all of an
organisation's operational applications, and that this data is made consistent.
4.5.1. History of data warehousing
Data Warehouses became a distinct type of computer database during the
late 1980's and early 1990's. They developed to meet a growing demand for
management information and analysis that could not be met by operational systems.
Operational systems were unable to meet this need for a range of reasons :
- The processing load of reporting reduced the response time of the
operational systems,
- The database designs of operational systems were not optimised for
information analysis and reporting,
- Most organizations had more than one operational system, so company-
wide reporting could not be supported from a single system,
and
- Development of reports in operational systems often required writing
specific computer programs which was slow and expensive.
As a result, separate computer databases began to be built that were
specifically designed to support management information and analysis purposes.
These data warehouses were able to bring in data from a range of different data
sources, such as mainframe computers, minicomputers, as well as personal
computers and office automation software such as spreadsheet, and integrate this
information in a single place. This capability, coupled with user-friendly reporting
tools and freedom from operational impacts, has led to a growth of this type of
computer system. As technology improved (lower cost for more performance) and
247
user requirements increased (faster data load cycle times and more features), data
warehouses have evolved through several fundamental stages :
- Offline Operational Databases : Data warehouses in this initial stage are
developed by simply copying the database of an operational system to an off-line
server where the processing load of reporting does not impact on the operational
system's performance.
- Offline Data Warehouse : Data warehouses in this stage of evolution are updated
on a regular time cycle (usually daily, weekly or monthly) from the operational
systems and the data is stored in an integrated reporting-oriented data structure
- Real Time Data Warehouse : Data warehouses at this stage are updated on a
transaction or event basis, every time an operational system performs a transaction
(e.g. an order or a delivery or a booking etc.)
- Integrated Data Warehouse : Data warehouses at this stage are used to generate
activity or transactions that are passed back into the operational systems for use in
the daily activity of the organization.
4.5.2. Components of a data warehouse
A Data Warehouse Architecture (DWA) is a way of representing the overall
structure of data, communication, processing and presentation that exists for end-
user computing within the enterprise. The architecture is made up of a number of
interconnected parts:
- External Database Layer
- Information Access Layer
- Data Access Layer
- Metadata Layer
- Process Management Layer
248
- Application Messaging Layer
- Data Warehouse Layer
- Data Staging Layer
Application Messaging
I
O
N
D
P
Data Warehouse Architecture
E
F
D
A
D
R
E
O
A
T
A
A
E
A
X
R
T
X
T
T
T
T
M
A
A
I
E
A
E
S
O
R
T
R
N
T
N
N
I
A
A
A
A
A
A
O
C
C
L
L
G
L
N
C
C
I
E
E
N
A
S
S
G
D
C
S
S
D
D
C
B
B
B
E
S
S
Data
Dire
DATA DIRECTORY FUNCTIONS
ctory
PROCESS MANAGEMENT
Data Warehouse Architecture
249
i. External Database Layer : Operational systems process data to support critical
operational needs. In order to do that, operational databases have been historically
created to provide an efficient processing structure for a relatively small number of
well-defined business transactions. Because of the limited focus of operational
systems, the databases designed to support operational systems have difficulty
accessing the data for other management or informational purposes. The goal of
data warehousing is to free the information that is locked up in the operational
databases and to mix it with information from other external sources of data.
ii. Information Access Layer : The Information Access layer of the Data Warehouse
Architecture is the layer that the end-user deals with directly. In particular, it
represents the tools that the end-user normally uses day to day, e.g., Excel, Focus,
Access, etc. This layer also includes the hardware and software involved in
displaying and printing reports, spreadsheets, graphs and charts for analysis and
presentation. There are significant problems in making the raw data contained in
operational systems available to end-user tools. One of the keys to this is to find a
common data language that can be used throughout the enterprise.
iii. Data Access Layer : The Data Access Layer is involved with allowing the
Information Access Layer to talk to the Operational Layer. The Data Access Layer
not only spans different DBMSs and file systems on the same hardware, it spans
manufacturers and network protocols as well. One of the keys to a Data
Warehousing strategy is to provide end-users with "universal data access".
Universal data access means that, theoretically at least, end-users, regardless of
location or Information Access tool, should be able to access any or all of the data
in the enterprise that is necessary for them to do their job. The Data Access Layer is
responsible for interfacing between Information Access tools and Operational
Databases.
250
iv. Metadata Layer : Metadata, or "data about data", is used not only to inform
operators and users of the data warehouse about its status and the information held
within the data warehouse, but also as a means of integration of incoming data and
a tool to update and refine the underlying Data Warehouse model. Examples of data
warehouse metadata include table and column names, their detailed descriptions,
their connection to business meaningful names, the most recent data load date, the
business meaning of a data item and the number of users that are logged in
currently. In order to provide for universal data access, it is absolutely necessary to
maintain some form of data directory or repository of meta-data information. In
order to have a fully functional warehouse, it is necessary to have a variety of meta-
data available, data about the end-user views of data and data about the operational
databases. Ideally, end-users should be able to access data from the data warehouse
without having to know where that data resides or the form in which it is stored.
v. Process Management Layer : The Process Management Layer is involved in
scheduling the various tasks that must be accomplished to build and maintain the
data warehouse and data directory information. The Process Management Layer can
be considered as the scheduler or the high-level job control for the many processes
that must occur to keep the Data Warehouse up-to-date.
vi. Application Messaging Layer : The Application Message Layer has to do with
transporting information around the enterprise computing network. Application
Messaging can be used to isolate applications, operational or informational, from
the exact data format on either end. Application Messaging can also be used to
collect transactions or messages and deliver them to a certain location at a certain
time.
vii. Data Warehouse Layer : The data warehouse must be organised to hold
information in a structure that best supports not only query and reporting, but also
251
advanced analysis techniques, like data mining. Most data warehouses hold
information for at least 1 year and sometimes can reach half century, depending on
the business/ operations data retention requirement. In some cases, one can think of
the Data Warehouse simply as a logical or virtual view of data. In many instances,
the data warehouse may not actually involve storing data. In a Physical Data
Warehouse, copies of operational and or external data are actually stored in a form
that is easy to access and is highly flexible. Data Warehouses are stored on
client/server platforms, but they are often stored on main frames as well.
viii. Data Staging Layer : Data Staging is also called copy management or
replication management, but it includes all of the processes necessary to select, edit,
summarize, combine and load data warehouse and information access data from
operational and/or external databases. Data Staging involves complex
programming. Data Staging may also involve data quality analysis programs and
filters that identify patterns and data structures within existing operational data.
4.5.3. Advantages of using data warehouse
There are many advantages to using a data warehouse, some of them are:
- Enhances end-user access to a wide variety of data.
- Business decision makers can get the trend reports e.g. the item with the most
sales in a particular area / country for the last two years. This may be helpful for
future investments in a particular item.
- Increases data consistency.
- Increases productivity and decreases computing costs.
- Is able to combine data from different sources, in one place.
- It provides an infrastructure that could support changes to data and replication of
the changed data back into the operational systems.
4.5.4. Concerns in using data warehouse
252
- Extracting, cleaning and loading data could be time consuming. But this can be
made easy with the help of warehousing tools.
- Problems of compatibility with systems already in place e.g. transaction
processing system.
- Providing training to end-users.
- Security could develop into a serious issue, especially if the data warehouse is
web accessible.
Activity 4. 5.
Discuss the components of a Data Warehouse.
4.6. Data Mining
Data mining is the non-trivial process of identifying valid, novel, potentially useful,
and ultimately understandable patterns in data. With the widespread use of databases and
the explosive growth in their sizes, organizations are faced with the problem of information
overload. The problem of effectively utilizing these massive volumes of data is becoming a
major problem for all enterprises. Traditionally, we have been using data for querying a
reliable database repository via some well-circumscribed application. While this mode of
interaction is satisfactory for a large class of applications, there exist many other
applications which demand exploratory data analyses. Data mining techniques support
automatic exploration of data. Data mining attempts to source out patterns and trends in the
data and infers rules from these patterns. The evolution of data mining began when business
data was first stored in computers, and technologies were generated to allow users to
navigate through the data in real time.
4.6.1. Definitions
253
Data mining, the extraction of the hidden predictive information from large
databases, is a powerful new technology with great potential to analyze important
information in the data warehouse. Data mining scours databases for hidden
patterns, finding predictive information that experts may miss, as it goes beyond
their expectations. When implemented on a high performance client/server or
parallel processing computers, data mining tools can analyze massive databases to
deliver answers to questions such as which clients are most likely to respond to the
next promotional mailing. There is an increasing desire to use this new technology
in the new application domain, and a growing perception that these large passive
databases can be made into useful actionable information.
The term 'data mining' refers to the finding of relevant and useful
information from databases. Data mining and knowledge discovery in the databases
is a new interdisciplinary field, merging ideas from statistics, machine learning,
databases and parallel computing. Researchers have defined the term 'data mining'
in many ways.
A few of these definitions are as follows :
1. Data mining or knowledge discovery in databases, as it is also known, is the non-trivial
extraction of implicit, previously unknown and potentially useful information from the data. This
encompasses a number of technical approaches, such as clustering, data summarization,
classification, finding dependency networks, analyzing changes, and detecting anomalies.
Though the terms data mining and Knowledge Discovery in Databases (KDD) are
used synonymously, there is difference and similarity between data mining and
knowledge discovery. Data retrieval, in its usual sense in database literature,
attempts to retrieve data that is stored explicitly in the database and presents it to the
user in a way that the user can understand. It does not attempt to extract implicit
information. One may argue that if we store 'date-of-birth' as a field in the database
254
and extract 'age' from it, the information received from the database is not explicitly
available. But that information is not 'non-trivial'. If one attempts to find out the
average age of the employees in a particular company, it can be visualized as a sort
of non-trivial extraction of implicit information. The task is surely 'non-trivial
extraction of implicit information'. It is a type of data mining task, but at a very low
level. A higher level task would be to find correlations between the average age and
average income of individuals in an enterprise.
2. Data mining is the search for the relationships and global patterns that exist in
large databases but are hidden among vast amounts of data, such as the
relationship between patient data and their medical diagnosis. This relationship
represents valuable knowledge about the database, and the objects in the database,
if the database is a faithful mirror of the real world registered by the database.
Consider the employee database and let us assume that we have some tools
available with us to determine some relationships between fields, say relationship
between age and lunch-patterns. Assume, for example, that we find that most of
employees in their thirties like to eat pizzas, burgers or Chinese food during their
lunch break. Employees in their forties prefer to carry a home-cooked lunch from
their homes. And employees in their fifties take fruits and salads during lunch. If
our tool finds this pattern from the database which records the lunch activities of all
employees for last few months, then we can term our tool as a data mining tool.
3.
Data mining refers to using a variety of techniques to identify nuggets of
information or decision-making knowledge in the database and extracting these in
such a way that they can be put to use in areas such as decision support, prediction,
forecasting and estimation. The data is often voluminous, but it has low value and
no direct use can be made of it. It is the hidden information in the data that is
useful.
255
Data mining is a process of finding value from volume. In any enterprise, the
amount of transactional data generated during its day-to-day operations is massive
in volume. Although these transactions record every instance of any activity, it is of
little use in decision making. Data mining attempts to extract smaller pieces of
valuable information from this massive database.
4. Discovering relations that connect variables in a database is the subject of data
mining. The data mining system self-learns from the previous history of the
investigated system, formulating and testing hypothesis about rules which systems
obey. When concise and valuable knowledge about the system of interest is
discovered, it can and should be interpreted into some decision support system,
which helps the manager to make wise and informed business decision.
Data mining is essentially a system that learns from the existing data. There are two
disciplines which address such problems--Statistics and Machine Learning.
Statistics provide sufficient tools for data analysis and machine learning deals with
different learning methodologies. While statistical methods are theory-rich-data-
poor, data mining is data-rich-theory-poor approach. On the other hand machine
learning deals with whole gamut of learning theory, which most often data mining
is restricted to areas of learning with partially specified data.
5. Data mining is the process of discovering meaningful, new correlation patterns
and trends by sifting through large amount of data stored in repositories, using
pattern recognition techniques as well as statistical and mathematical techniques.
One important aspect of data mining is that it scans through a large volume of data
to discover patterns and correlations between attributes. Thus, though there are
techniques like clustering, decision trees, etc., existing in different disciplines, these
are not readily applicable to data mining as they are not designed to handle large
amounts of data. Thus, in order to apply statistical and mathematical tools, we have
256
to modify these techniques to be able efficiently sift through large amounts of data
stored in the secondary memory.
4.6.2. KDD vs. Data Mining
Knowledge Discovery in Database (KDD) was formalized in 1989, with
reference to the general concept of being broad and high level in the pursuit of
seeking knowledge from data. The term data mining was then coined; this high-
level application technique is used to present and analyze data for decision-makers.
Knowledge Discovery in Databases is the process of identifying a valid, potentially
useful and ultimately understandable structure in data. This process involves
selecting or sampling data from a data warehouse, cleaning or preprocessing it,
transforming or reducing it (if needed), applying a data mining component to
produce a structure, and then evaluating the derived structure.
Data Mining is a step in the KDD process concerned with the algorithmic means by
which patterns or structures are enumerated from the data under acceptable
computational efficiency limitations.
4.6.3. Data Mining Techniques
Two fundamental goals of data mining are : prediction and description.
Prediction makes use of existing variables in the database in order to predict
unknown or future values of interest, and description focuses on finding patterns
describing the data and the subsequent presentation for user interpretation. The
relative emphasis of both prediction and description differ with respect to the
underlying application and the technique. There are several data mining techniques
fulfilling these objectives. Some of these are associations, classifications, sequential
patterns and clustering. The basic premise of an association is to find all
associations, such that the presence of one set of items in a transaction implies the
other items. Classification develops profiles of different groups. Sequential patterns
257
identify sequential patterns subject to a user-specified minimum constraint.
Clustering segments a database into subsets or clusters.
Another approach is to classify the techniques as :
? User-guided or verification-driven data mining, and
? Discovery-driven or automatic discovery of rules.
Verification Model
In this process of data mining, the user makes a hypothesis and tests the
hypothesis on the data to verify its validity. The emphasis is on the user who is
responsible for formulating the hypothesis and issuing the query on the data to
affirm or negate the hypothesis. For example, in a supermarket, with a limited
budget for a mailing campaign to launch a new product, it is important to identify
the section of the population most likely to buy the new product. The user
formulates a hypothesis to identify potential customers and their common
characteristics. Historical data about transactions and demographic information can
then be queried to reveal comparable purchases and the characteristics shared by
those purchasers. The whole operation can be repeated by successive refinements of
hypotheses until the required limit is reached. The user may come up with a new
hypothesis or may refine the existing one and verify it against the database.
Discovery Model
The discovery model differs in its emphasis, in that it is the system
automatically discovering important information hidden in the data.' The data is
sifted in search of frequently occurring patterns, trends and generalizations about
the data without intervention or guidance from the user.
The manner in which the rules are discovered depends on the class of the data
mining application. An example of such a model is a supermarket database, which
is mined to discover the particular groups of customers to target for a mailing
258
campaign. The data is searched with no hypothesis in mind other than for the
system to group the customers according to the common characteristics found.
Typical discovery driven tasks
Discovery of association rules
Discovery of classification rules
Clustering
Discovery of frequent episodes
Deviation detection
i. Discovery of Association rules : An association rule is an expression of the form
X => Y, where X and Y are the sets of items. The intuitive meaning of such a rule is
that the transaction of the database which contains X tends to contain Y. Given a
database, the goal is to discover all the rules that have the support and confidence
greater than or equal to the minimum support and confidence, respectively. The
association with a very high support and confidence is a pattern that occurs often in
the database that should be obvious to the end user. Patterns with extremely low
support and confidence should be regarded as of no significance. Only patterns with
a combination of intermediate values of confidence and support provide the user
with interesting and previously unknown information.
ii. Clustering : Clustering is a method of grouping data into different groups, so that
the data in each group share similar trends and patterns. Clustering constitutes a
major class of data mining algorithms. The algorithm attempts to automatically
partition the data space into a set of regions or clusters, to which the examples in the
table are assigned, either deterministically or probability-wise. The goal of the
process is to identify all sets of similar examples in the data, in some optimal
fashion.
259
Clustering according to similarity is a concept which appears in many
disciplines. If a measure of similarity is available, then there are a number of
techniques for forming clusters.
The objectives of clustering are:
?
to uncover natural groupings
?
to initiate hypothesis about the data
?
to find consistent and valid organization of the data.
A retailer may want to know where similarities exist in his customer base, so that he
can create and understand different groups. He can use the existing database of the
different customers or different transactions collected over a period of time. The
clustering methods will help him in identifying different categories of customers.
During the discovery process, the differences between data sets can be discovered
in order to separate them into different groups, and similarity between data sets can
be used to group similar data together.
iii. Discovery of classification rules : Classification involves finding rules that
partition the data into disjoint groups. There are several classification discovery
models. They are: the decision trees, neural networks, genetic algorithms and the
statistical models like linear/geometric discriminates. The applications include the
credit card analysis, banking, medical applications and the like. Consider the
following example.
The domestic flights in our country were at one time only operated by
Indian Airlines. Recently, many other private airlines began their operations for
domestic travel. Some of the customers of Indian Airlines started flying with these
private airlines and, as a result, Indian Airlines lost these customers. Let us assume
that Indian Airlines wants to understand why some customers remain loyal while
others leave. Ultimately, the airline wants to predict which customers it is most
260
likely to lose to its competitors. Their aim is to build a model based on the historical
data of loyal customers versus customers who have left. This becomes a
classification problem.
iv. Frequent episodes : Frequent episodes are the sequence of events that occur
frequently, close to each other and are extracted from the time sequences. How
close it has to be to consider it as frequent is domain dependent. This is given by the
user as the input and the output are the prediction rules for the time sequences.
These episodes can be of three types :
i.
The serial episodes which occur in sequence.
ii.
The parallel episodes in which there are no constraints on the order
of the event types A and B.
iii.
The non-serial and non-parallel episodes which occur in a sequence
if the occurrences of A and B precede an occurrence of C, and there
is no constraint on the relative order of A and B given.
v. Deviation detection : Deviation detection is to identify outlying points in a
particular data set, and explain whether they are due to noise or other impurities
being present in the data or due to trivial reasons. It is usually applied with the
database segmentation, and is the source of true discovery, since the outliers
express deviation from some previously known expectation and norm. By
calculating the values of measures of current data and comparing them with
previous data as well as with the normative data, the deviations can be obtained.
They can be applied in forecasting, fraud detection, customer retention, etc.
4.6.4. Types of Data Mining
A data mining system can either be a portion of a data warehousing system
or a stand-alone system. Data sources are very diverse and appear in varied form. It
261
can be textual data, image data, CAD data, Map data or ECG data. Some data are
structured and some are unstructured. Data mining remains an important tool,
irrespective of the forms or sources of data.
Types of Data Mining
Sequence Mining
Web Mining
Text Mining
Spatial Data Mining
i. Sequence Mining : Sequence mining is concerned with mining sequence data. In
the discovery of association rules, we are interested in finding associations between
items irrespective of their order of occurrence. The discovery of temporal sequences
of events concerns causal relationships among the events in a sequence.
ii. Web Mining : With the huge amount of information available online, the World
Wide Web is a fertile area for data mining research. Web mining research is at the
crossroads of research from several research communities, such as database,
information retrieval etc. Web mining can be broken down into following subtasks:
a) Resource finding : retrieving documents intended for the web.
b) Information selection and preprocessing : automatically selecting and preprocessing
specific information from resources retrieved from the web.
c) Generalization : to automatically discover general patterns at individual web sites
as well as across multiple sites.
d) Analysis : validation and/or interpretation of the mined patterns.
iii. Text Mining : The term text mining or KDT (Knowledge Discovery in Text) was
first proposed by Feldman and Dagan in 1996. They suggest that text documents be
structured by means of information extraction or text categorization as a pre-
processing step before performing any kind of KDTs. Presently the term text
262
mining, is being used to cover many applications such as text categorization,
exploratory data analysis, text clustering, finding patterns in text databases, finding
sequential patterns in texts & Information Extraction.
iv. Spatial Data Mining : Spatial data mining is the branch of data mining that deals
with spatial (location) data. The immense explosion in geographically-referenced
data occasioned by developments in IT, digital mapping, remote sensing, and the
global diffusion of GIS, places demands on developing data driven inductive
approaches to spatial analysis and modeling. Spatial data mining is regarded as a
special type of data mining that seeks to perform similar generic functions as
conventional data mining tools, but modified to take into account the special
features of spatial information.
4.6.5. Issues and challenges in Data Mining
Data mining systems depend on databases to supply the raw input and this
raises problems, such as that database tends to be dynamic, incomplete, noisy and
large. Other problems also arise as a result of the inadequacy and irrelevance of the
information stored.
Difficulties in data mining
Limited information
Noise or missing data
User interaction and prior knowledge
Uncertainty
Size, updates and irrelevant fields
i. Limited information
A database is often designed for purposes other then that of data mining and,
sometimes, some attributes which are essential for knowledge discovery of the
application domain are not present in the data. Thus, it may be very difficult to
discover significant knowledge about a given domain.
263
ii. Noise and missing data
Attributes that rely on subjective or measurement judgments can give rise to errors,
such that some examples may be misclassified. Missing data can be treated in a
number of ways--simply disregarding missing values, omitting corresponding
records, inferring missing values from known values, and treating missing data as a
special value to be included additionally in the attribute domain. The data should be
cleaned so that it is free of errors and missing data.
iii. User interaction and prior knowledge
Since the KDD process is by definition interactive and iterative, it is challenging to
provide a high performance, rapid-response environment that also assists the users
in the proper selection and matching of the appropriate techniques to achieve their
goals. There needs to be more human-computer interaction and less emphasis on
total automation. The use of domain knowledge is important in all steps of the KDD
process. It would be convenient to design a KDD tool which is both interactive and
iterative.
iv. Uncertainty
This refers to the severity of error and the degree of noise in the data. Data precision
is an important consideration in a discovery system. v. Size, updates and irrelevant
fields
Databases tend to be large and dynamic, in that their contents are keep changing as
information is added, modified or removed. The problem with this, from the
perspective of data mining, is how to ensure that the rules are up-to-date and
consistent with the most current information.
4.6.6. Data Mining application areas
264
The discipline of data mining is driven in part by new applications which
require new capabilities that are not currently being supplied by today's technology.
These new applications can be naturally divided into following categories :
i. Business and E- commerce data
This is a major source category of data for data mining applications.
Business transactions : Business enterprises require necessary information for their
effective functioning in today`s competitive world.
Electronic commerce : Electronic commerce produce large data sets in which the
analysis of marketing patterns and risk patterns is critical. It is important to do this
in near-real time, in order to meet the demands of on-line transactions.
ii. Scientific, Engineering and Healthcare data
Scientific data tend to be a more complex in structure than business data.
Genomic data : Genomic sequencing and mapping efforts have produced a number
of databases which are accessible on the web. Finding relationships between these
data sources is a challenge for data mining.
Sensor data : Remote sensing data is another source of voluminous data. Remote
sensing satellites produce large amounts of data. A fundamental challenge is to
understand the relationships among this data.
Health care data : Hospitals, health care organizations, insurance companies, and
the concerned government agencies accumulate large collections of data about
patients and health care-related details. Understanding relationships in this data is
critical for a wide variety of problems--ranging from determining what procedures
and clinical protocols are most effective, to how best deliver health care to the
maximum number of people.
265
Web data : The data on the web is growing not only in volume but also in
complexity. Web data now includes not only text, audio and video material, but also
numerical data.
iii. Other applications
There is a wide range of well-established business applications for data mining.
These include customer attrition, profiling, promotion forecasting, product cross-
selling, fraud detection, targeted marketing, propensity analysis, credit scoring, risk
analysis, etc.
Housing loan prepayment prediction : A home-finance loan actually has an average
life-span of only 7 to 10 years, due to prepayment.
People prepay loans when they refinance or when they sell their home. The
financial return that a home-finance institution derives from a loan depends on its
life-span. Therefore, it is necessary for the financial institutions to be able to predict
the life-spans of their loans.
This information can be used to fine-tune loan parameters such as interest rates,
points, and fees, in order to maximize profits.
Mortgage loan delinquency prediction : Loan defaults usually entail expenses and
losses for the banks and other lending institutions. Data mining techniques can be
used to predict whether or not a loan would go delinquent within the succeeding 12
months, based on historical data, on account information, borrower demographics,
and economic indicators.
Crime detection : Crime detection is another area where data mining finds
application.
Brand loyalty : Given a customer and the product he/she uses, we can predict
whether the customer will switch brands.
266
Portfolio management : Given a particular financial asset, it is possible to predict
the return on investment to determine the
inclusion of the asset in a folio or not.
Customer retention : Given a database of past customers and their behaviour prior
to attrition, a model of customers most likely to leave can be developed. This model
can be used for determining the best course of action for these customers.
Activity. 4.6.
Discuss the application areas of Data Mining.
4.7. Market Basket Analysis (MBA)
Market Basket Analysis is one of the most common and useful types of data
analysis for marketing. It is an algorithm that examines a long list of transactions in
order to determine which items are most frequently purchased together. The
purpose of market basket analysis is to determine what products customers purchase
together. It takes its name from the idea of customers throwing all their purchases
into a shopping cart (a "market basket") during grocery shopping. Knowing what
products people purchase as a group can be very helpful to a retailer or to any other
company. A store could use this information to place products frequently sold
together into the same area. Direct marketers could use the basket analysis results to
determine what new products to offer their prior customers.
The strength of market basket analysis is that by using computer data mining
tools, it is possible to find out, what products consumers would logically buy
together. Once it is known that customers who buy one product are likely to buy
another, it is possible for the company to market the products together, or to make
the purchasers of one product the target prospects for another. If it's known that
customers who buy a sweater from a certain mail-order catalog have a propensity
267
toward buying a jacket from the same catalog, sales of jackets can be increased by
having the telephone representatives describe and offer the jacket to anyone who
calls in to order the sweater. By targeting customers who are already known to be
likely buyers, the effectiveness of marketing is significantly increased. This is the
purpose of market basket analysis ? to improve the effectiveness of marketing and
sales tactics using customer data already available to the company.
4.7.1. Methodology
The input to a Market Basket Analysis is normally a list of sales
transactions, where each column represents a product and each row represents either
a sale or a customer, depending on whether the goal of the analysis is to find which
items sell together at the same time, or to the same person. In order to perform
market basket analysis, it is necessary to first have a list of transactions and what
was purchased in each one. For example, consider the transactions of convenience
store customers, each of whom bought only a few items :
Transaction 1: Frozen pizza, cola, milk
Transaction 2: Milk, potato chips
Transaction 3: Cola, frozen pizza
Transaction 4: Milk, pretzels
Transaction 5: Cola, pretzels
Each customer purchased a different basket of items, and at first glance,
there is no obvious relationship between any of the items purchased and any other
item. The first step of a basket analysis is to cross-tabulate the data into a table,
allowing to see how often products occurred together. For these five convenience
store purchases, the table looks as follows :
Frozen Pizza Milk
Cola Potato Chips
Pretzels
Frozen Pizza
2
1
2
0
0
Milk
1
3
1
1
1
268
Cola
2
1
3
0
1
Potato Chips
0
1
0
1
0
Pretzels
0
1
1
0
2
The central diagonal of the table shows how often each item was purchased
with itself. Though this is significant for figuring some reliability statistics, it does
not show how items sell together. In the first row, out of the people who bought
frozen pizza, one bought milk, two bought cola, and none bought potato chips or
pretzels. This hints at the fact that frozen pizza and cola may sell well together, and
should be placed side-by-side in the convenience store. Looking over the rest of the
table, there is nowhere else that an item sold together with another item that
frequently. Hence, this is probably an actual cross-selling opportunity. Compare this
to the second row of people who bought milk, one bought frozen pizza, one bought
cola, one bought potato chips, and one bought pretzels. It seems milk sells well with
everything in the store. There is probably not a good cross-selling opportunity with
milk. This makes sense for a convenience store. People often come to a
convenience store for the purpose of buying milk, and will buy it regardless of
anything else they're looking for.
In the real world, there would usually be more than five products, and would
always have more than five transactions to look at. As a result, the distinction
between products that sell well together and products that do not would be much
sharper. Hence, a market basket analysis of large amounts of data would be
performed using data mining software, rather than being done manually. The results
of market basket analysis are particularly useful because they take the form of
immediately actionable association rules . These are rules in the form of "if
condition then result." For instance, from the above table, we could derive the
association rules:
269
i. If a customer purchases Frozen Pizza, then they will probably purchase Cola. ii.
If a customer purchases Cola, then they will probably purchase Frozen Pizza. These
rules allow a store to immediately know that promotions involving frozen pizza and
cola will pay off. Whether it's placing the cola display right next to the frozen pizza,
advertising the two products together, or putting cola discount coupons on frozen
pizza boxes, the convenience store will probably be able to increase sales of both
items through directed marketing. This is an example of the best kind of market
basket analysis result. Market basket analysis occasionally produces inexplicable
rules. These rules are not obvious, but also don't lend themselves to immediate
marketing use. An example of this type of rule is one hardware store chain's
discovery that toilet rings sell very well only when a new hardware store is opened.
There is no obvious reason for why do people only need toilet rings when a new
store opens. In addition, while the company could offer a sale on toilet rings during
new store openings, it's hard to tell whether or not this will be a successful
promotion, since it's rather mysterious why they sell better at new openings at all.
An inexplicable rule is not necessarily useless, but its business value is not obvious
and it does not lend itself to immediate use for cross-selling.
4.7.2. Merits
Knowing which products sell together can be very useful to any business.
The most obvious effect is the increase in sales that a retail store can achieve by
reorganizing its products so that things that sell together are found together. This
facilitates impulse buying and helps ensure that customers who would buy a product
don't forget to buy it on account of not having seen it. In addition, this has the side
effect of improving customer satisfaction. Once they've found one of the items they
want, the customer doesn't have to look all over the store for something they want to
buy. Their other purchases are already located close-by. World Wide Web or
270
catalog merchants get the same benefit, by conveniently organizing their catalog or
Web site so that items that sell together are found together.
Outside of the store environment, basket analysis provides different benefits.
For a direct marketer, it is far preferable to market to existing customers, which are
known to buy products and have a history with the company. The company already
has these people in its database, and knows a significant amount of information
about them. After running a basket analysis, a direct marketer can contact its prior
customers with information about new products that have been shown to sell well
with the products they've already bought. Even when making sales to new
customers, telephone representatives can offer buyers of a product discounts on any
other products they know sell with it, in order to increase the size of the sale.
Market basket analysis has uses even outside the realm of marketing. It can
be useful for operations purposes to know which products sell together in order to
stock inventory. Running out of one item can affect sales of associated items. The
reorder point of a product should be based on the inventory levels of several
products, rather than just one. Basket analysis can be used in any case where several
different conditions lead to a result. For example, by studying the occurrence of side
effects in patients with multiple prescriptions, a hospital could find previously
unknown drug interactions about which to warn patients.
There are several advantages to market basket analysis over other types of
data mining. It is undirected. It is not necessary to choose a product that you want to
focus on in order to run a basket analysis. Instead, all products are considered, and
the data mining software reveals which products are most important to the analysis.
In addition, the results of basket analysis are clear, understandable association rules
that lend themselves to being immediately acted upon, and the individual
calculations involved are simple.
271
4.7.3. Limitations
Though an useful and productive type of marketing data mining, market
basket analysis does have a few limitations.
i. The first is the kind of data needed to do an effective basket analysis. It is
necessary to have a large number of real transactions to get meaningful data, but the
data's accuracy is compromised if all of the products do not occur with similar
frequency. Thus, in the above example, if milk is sold in almost every transaction,
but glue only sells once or twice per month, putting both of them into the same
basket analysis will probably generate results that look impressive without being
statistically significant. Acting on these results might not actually benefit
profitability. With only one or two glue customers, the data mining software will be
able to very confidently state what sells well with glue. But this may only be true
for the one or two customers analyzed. However, this limitation can be overcome
by classifying items into a taxonomy.
ii. Market basket analysis can sometimes present results that are actually due
to the success of previous marketing campaigns. If the convenience store had
always been putting cola discount coupons on the frozen pizza, the fact that cola
and frozen pizza sell well together may come as no surprise to them. It does not
give any new information, just show that previously existing marketing campaigns
are already working. In fact, the previous campaign may even be overshadowing a
real relationship. People would normally prefer to buy beer with pizza, but are only
buying the cola because of the discount. In this case, the convenience store is
missing out on what could be a better promotion.
4.7.4. Applications of MBA
i. Store Layout Changes : The results of market basket analysis can be used by
stores to change their layout in ways that improve profitability. If the basket
272
analysis shows that light bulbs and gardening tools sell well together in a hardware
store, the obvious response is to put the light bulbs next to the gardening aisle. By
making it most convenient for the customer to buy high-profit items for the store,
the store owner can maximize profit. The market basket analysis shows that this
tactic will probably work, since customers will already be looking to buy the item.
A catalog or web page can also be reorganized so that customers who are likely to
buy a certain product have their attention directed to high-profit items.
ii. Product Bundling : For companies that don't have a physical storefront, like mail-
order companies, Internet businesses, and catalog merchants, market basket analysis
can be more useful for developing promotions than for reorganizing product
placement. By offering promotions such that the buyers of one item get discounts
on another they have been found likely to buy, sales of both items may be
increased. In addition, basket analysis can be useful for direct marketers for
reducing the number of mailings or calls that need to be made. By calling only
customers who have shown themselves likely to want a product, the cost of
marketing can be reduced while the response rate is increased.
Other application areas
Although Market Basket Analysis conjures up pictures of shopping carts and
supermarket shoppers, there are many other areas in which it can be applied. These
include: Analysis of credit card purchases.
Analysis of telephone calling patterns.
Identification of fraudulent medical insurance claims.
Analysis of telecom service purchases.
Note that despite the terminology, there is no requirement for all the items to be
purchased at the same time. The algorithms can be adapted to look at a sequence of
273
purchases (or events) spread out over time. A predictive market basket analysis can
be used to identify sets of item purchases (or events) that generally occur in
sequence : something of interest to direct marketers, criminologists and many
others.
Activity 4. 7.
Discuss the methodology of Market Basket Analysis.
4.8. Click stream Analysis
The Web Servers which handle traffic on an important site generate, daily,
the Log files related to access and navigation paths. These Log files contain a
considerable mass of data, which is mostly superfluous or irrelevant in business
terms, which are difficult to code and which are unsuitable, in their original form, to
be treated analytically with a cognitive objective. On the other hand, these files hide
the behaviour of the site "surfer", the interest points, the time spent, the
"hesitations" and choices. Click stream analysis (sometimes called click stream
analytics) is the process of collecting, analyzing, and reporting aggregate data about
which pages visitors visit, in what order and which are the results of the succession
of mouse clicks each visitor makes (that is, the click stream).
There are two levels of click stream analysis, traffic analysis and e-
commerce analysis. Traffic analysis operates at the server level by collecting click
stream data related to the path the user takes when navigating through the site.
Traffic analysis tracks how many pages are served to the user, how long it takes
pages to load, how often the user hits the browser's back or stop button, and how
274
much data is transmitted before a user moves on. E-commerce-based analysis uses
click stream data to determine the effectiveness of the site as a channel-to-market
by quantifying the user's behavior while on the Web site. It is used to keep track of
what pages the user lingers on, what the user puts in or takes out of their shopping
cart, and what items the user purchases.
Because a large volume of data can be gathered through click stream
analysis, many e-businesses rely on pre-programmed applications to help interpret
the data and generate reports on specific areas of interest. Click stream analysis is
considered to be most effective when used in conjunction with other, more
traditional, market evaluation resources. Click stream analysis can provide valuable
insights to help enterprises know more about the parties with which they do
business and thus act more proactively toward meeting their objectives.
Specifically, effective click stream analysis can reveal :
- Who is potentially interested in offerings of the company?
- What products are of interest to visitors?
- Where are the sources of referrals?
- When (which season or time of day) are people most likely to be
interested in offerings?
- What are the patterns of buying? Do people tend to review new releases or
references before perusing product offerings?
Click stream analysis is one of the most universal applications today. All enterprises
with a Web presence have access to Web logs that capture Web-site activity. Thus,
they have similar information on visitors, referrers (entities that link visitors to your
site), user logins, product offerings, Web content, server hits and visits. While
enterprises have this information, few take the time to manage and effectively
utilize this information; and even fewer use models for integrating this information.
275
While many find value in analyzing click stream information on its own, there is far
greater power in integrating this information. For example, if the enterprise
integrates customer Web interactions so they become part of each customer's
profile, there is more complete and accurate customer information.
The click stream is not just another data source that is extracted, cleaned,
and dumped into the data warehouse. The click stream is really an evolving
collection of data sources. There are many Web server log file formats for capturing
click stream data. These log file formats have optional data components that, if
used, can be very helpful in identifying visitors, sessions, and the true meaning of
behavior. Because of the distributed nature of the Web, click stream data is often
collected simultaneously by different physical servers, even when the visitor thinks
that he or she is interacting with a single Web site.
We get click stream data from different parties. Besides log files, we may get click
stream data from referring partners or from Internet service providers (ISPs). We
also may get click stream data from Web-watcher services. Another important form
of click stream data is the search specification given to a search engine that then
directs the visitor to the Web site. The other big frustration with basic click stream
data is the anonymity of the session. Unless the visitor agrees to reveal his or her
identity in some way, we often cannot be sure who he or she is or if we have ever
seen the visitor before.
4.8.1. Challenges of Tracking with Click stream Data
Click stream data contains many ambiguities. Identifying visitor origins,
visit sessions, and visitor identities is something of an interpretive art.
i. Identifying the Visitor Origin
If we are very lucky, our site is the default home page for the visitor's browser.
Every time the visitor opens his or her browser, our home page is the first thing he
276
or she sees. This is pretty unlikely unless we are the Webmaster for a portal site or
an intranet home page, but many sites have buttons that, when clicked, prompt the
visitor to set his or her URL as the browser's home page. For many Web sites, the
most common source of visitors is from a browser bookmark. In order for this to
happen, the visitor will have to have previously bookmarked the site, and this will
occur only after the site's interest and trust levels cross the visitor's bookmark
threshold.
ii. Identifying the Session
Most web-centric data warehouse applications will require every visitor session
(visit) to have its own unique identity tag, similar to a grocery store point-of-sale
ticket ID. We call this the session ID. The rows of every individual visitor action in
a session, whether derived from the click stream or from an application interaction,
must contain this tag. The operational application generates this session ID and not
the Web server. The most powerful method of session tracking from Web server log
records is to set a persistent cookie in the visitor's browser.
iii. Identifying the Visitor
Identifying a specific visitor who logs onto a site presents some of the most
challenging problems facing a site designer, Webmaster, or manager of data
warehousing for the following reasons :
- Web visitors wish to be anonymous. They may have no reason to trust us, the
Internet, or their PC with personal identification or credit card information.
- If we request a visitor's identity, he or she is likely to lie about it. It is believed that
when asked their name on an Internet form, men will enter a pseudonym 50 percent
of the time and women will use a pseudonym 80 percent of the time.
- We can't be sure which family member is visiting our site. If we obtain an identity
by association, for instance, from a persistent cookie left during a previous visit, the
277
identification is only for the computer, not for the specific visitor. Any family
member or company employee may have been using that particular computer at that
moment in time.
- We can't assume that an individual is always at the same computer. Server-
provided cookies identify a computer, not an individual. If someone accesses the
same Web site from an office computer, a home PC, and a laptop computer, a
different Web site cookie is probably put into each machine.
iv. Proxy Servers
When a browser makes an HTTP request, that request is not always served from the
server specified in a URL. Many ISPs make use of proxy servers to reduce Internet
traffic. Proxy servers are used to cache frequently requested content at a location
between its intended source and an end visitor. Such proxies are employed
commonly by large ISPs. Proxy servers can introduce three problems. First, a proxy
may deliver outdated content. Second, proxies may satisfy a content request without
properly notifying the originating server that the request has been served by the
proxy. When a proxy handles a request, convention dictates that it should forward a
message that indicates that a proxy response has been made to the intended server,
but this is not reliable. As a consequence, our Webhouse may miss key events that
are otherwise required to make sense of the events that comprise a browser/Web
site session. Third, if the visitor has come though a proxy, the Web site will not
know who made the page request unless a cookie is present. It is important,
therefore, to make liberal use of expiration dates and no-proxy tags in the HTML
content of your Web site. This will help ensure that we are getting as much data as
possible for our warehouse.
4.8.2. Specific Dimensions for the Click stream
278
Before we design specific click stream data marts, let's collect together as
many dimensions as we can think of that may have relevance in a click stream
environment. Any single dimensional schema will not use all the dimensions at
once, but it is nice to have a portfolio of dimensions waiting to be used. The
complete list of dimensions for a Web retailer could include:
Date
Time of day
Part
Vendor
Transaction
Status
Carrier
Facilities location
Product
Customer
Media
Casual
Service policy
Internal organization
Employee
Page
Event
Session
Referral
All the dimensions in the list, except for the last four, are familiar data ware house
dimensions. The last four, however, are the unique dimensions of the click stream
and warrant some careful attention.
279
Page Dimension : The page dimension describes the page context for a Web page
event. The grain of this dimension is the individual page.
Event Dimension : The event dimension describes what happened on a particular
page at a particular point in time. The main interesting events are open page, refresh
page, click link, and enter data. As dynamic pages based on XML become more
common, the event dimension will get much more interesting because the semantics
of the page will be much more obvious to the Web server.
Session Dimension : The session dimension provides one or more levels of
diagnosis for the visitor's session as a whole. This dimension is extremely important
because it provides a way to group sessions for insightful analysis. For example,
this dimension would be used to ask :
? How many customers consulted our product information before ordering?
? How many customers looked at our product information and never ordered?
? How many customers began the ordering process but did not finish? And where
did they stop?
Referral Dimension : The referral dimension describes how the customer arrived at
the current page. Web server logs usually provide this information. The URL of the
previous page is identified, and in some cases, additional information is present. If
the referrer was a search engine, then usually the search string is specified. It is not
worthwhile to put the raw search specification into our database because the search
specifications are so complicated that an analyst couldn't usefully query them. We
assume that some kind of simplified and cleaned specification is placed in the
specification field.
4.8.3. Integrating the Click stream Data Mart into the Enterprise Data Warehouse
280
Consider the overall design of a series of data marts implemented for a Web-
based computer retailer. The data marts correspond to all the business processes
needed by this retailer to run its business. The matrix method lists the data marts
down the left side of the matrix and the dimensions used by the data marts across
the top of the matrix. The cells of the matrix contain Xs if the particular data mart
uses a particular dimension. Note that the matrix describes data marts, not
individual fact tables. Typically, a data mart consists of a suite of closely associated
fact tables all describing a particular business process. A good way to start the
design of a series of data marts is to define first-level data marts that are, as much as
possible, related to single sources of data. Once several of these first-level data
marts have been implemented, then second-level consolidated data marts, such as
profitability, can be built that require data from the first-level marts to be combined.
Thus the entries in a given row of the matrix represent the existence of a dimension
somewhere in the closely associated suite of tables defining a particular data mart.
Following figure shows the completed bus matrix for a Web retailer. The
matrix has a number of striking characteristics. There are a lot of Xs. An X in a
given matrix column is, in effect, an invitation to the meeting for conforming that
dimension. The average data mart uses six to eight dimensions. Some of the
dimensions, such as date/time, transaction, status/type, organization, and employee,
appear in almost every data mart. The product and customer dimensions dominate
the whole middle part of the matrix, where they are attached to the data marts that
describe customer-oriented activities. At the top of the matrix, suppliers and parts
dominate the processes of acquiring the parts that make up products and building
them to order for the customer. At the bottom of the matrix we have classic
281
infrastructure and cost-driver data marts that are not tied directly to customer
behavior.
1 2 3 4 5 6 7 8 9 101112 13 14 15
X X X X X
X
X X
Supplier Deliveries
X X X X X X X
X
Part Inventories
X X X X X
X
X
Product Assembly Bill of Materials
X X X X
X X
X X
Product Assembly to Order
X X X X X
X X
X
X X
Product Promotions
X
X
X
X X X
X
Advertising
X
X
X
X X
X
Customer Inquiries
X
X X
X X
X
X X X X
Customer Communications
X
X X
X
X
X X
Web visitor Click stream
X
X
X X X X X
X
Product Sales Transactions
X
X X
X
X
X
X X
Product Shipments
X
X X X X X
X
X X X
Customer Billing
X
X X
X
X
X X X
Customer Payments
X
X X
X
X X
Product Returns
X
X X
X X
X
X X X
Product Support
X
X X
X X
X
X X X
Service Policy Orders
X
X X
X
X
X X X X
Service Policy Responses
X
X X
X X
X
X X X
Employee Labor
X
X X
X
X X
Human Resources
X
X X
X
X X
Facilities Operations
X
X X
X
X X
Web Site Operations
X
X X
X
X X
Note : 1. Date & Time, 2. Part, 3. Vendor, 4. Transaction, 5. Status & Type, 6. Carrier, 7.Facilities
location, 8. Product, 9. Customer, 10. Media, 11. Casual, 12. Service policy, 13. Internal
organization, 14. Employee, 15. Click stream (4 Dimensions).
Web visitor click stream data mart shares the date/time, transaction, product,
customer, media, causal, and service policy dimensions with several other data
marts nearby. In this sense it should be obvious that the Web visitor click-stream
data mart is well integrated into the fabric of the overall data warehouse for this
retailer. Applications tying the Web visitor click stream will be easy to integrate
across all these data marts sharing these conformed dimensions because the separate
queries to each data mart will be able to be combined across individual rows of the
report. The Web visitor click stream data mart contains the four special click stream
dimensions not found in the other data marts. These dimensions do not pose
problem for applications. The ability of the Web visitor click stream data mart to
282
bridge between the Web world and the brick-and-mortar world is exactly the
advantage that we are looking for. We can constrain and group on attributes from
the four Web dimensions and explore the effect on the other business processes. For
example, we can see what kinds of Web experience produce customers who
purchase certain kinds of service policies and then invoke certain levels of service
demands.
Activity 4. 8.
Discuss the challenges of tracking click stream data.
4.9. Personalisation
A role defines a group of activities-and the data and functions corresponding
to those activities-carried out by a person to achieve a desired business aim. A role
determines how a business process will be carried out and how this process will
lead to the attainment of a particular business aim. The roles determine interface
layouts, services, information, and applications required for each user. Roles are
flexible and can be changed easily. The role concept is extended further by
personalisation. Personalisation can determine the page layout, the look and feel of
the portal, and even which information users receive and how they receive it. The
role concept ensures that the users get the information most pertinent to them, while
personalisation means they receive the information in the format most suitable for
them. There are three ways to define personalization :
Personalisation at the administrator level : Administrators can define
personalisation for each user by setting the design of the portal structure for
different users. Administrator can define roles, work sets, portal layout, and access
methods for different users.
283
Personalisation at the user level : Users can personalise their content within the
control limits set by the administrator.
Automatic personalisation through predictive technology : Predictive technology
allows for automatic personalisation based on user type, browser type, device type,
user location (whether inside or outside the firewall), connection bandwidth, and the
type of event being handled.
4.10. Collaborative filtering
Collaborative filtering (CF) is the method of making automatic predictions
(filtering) about the interests of a user by collecting taste information from many
users (collaborating). The underlying assumption of CF approach is that, those who
agreed in the past tend will agree again in the future also. For example, a
collaborative filtering or recommendation system for music tastes could make
predictions about which music a user should like given a partial list of that user's
tastes (likes or dislikes).
4.10.1. History
Collaborative filtering stems from the earlier system of information filtering,
where relevant information is brought to the attention of the user by observing
patterns in previous behaviour and building a user profile. This system was
essentially unable to help with exploration of the web and suffered from the cold-
start problem that new users had to build up tendencies before the filtering was
effective. The first system to use collaborative filtering was the Information
Tapestry project at Xerox PARC. This system allowed users to find documents
based on previous comments by other users. There were many problems with this
system as it only worked for small groups of people and had to be accessed through
word specific queries which largely defeated the purpose of collaborative filtering.
USENET Net news furthered collaborative filtering such that it was available for a
284
mass scale of users. The system allowed users to rate material based on popularity,
which then allowed other users to search for articles based on these ratings.
4.10.2. Methodology
Collaborative filtering systems usually take two steps:
- Look for users who share the same rating patterns with the active user. -
Use the ratings from those like-minded users to calculate a prediction for the active
user.
Another form of collaborative filtering can be based on implicit observations of
normal user behavior. In these systems one will observe what a user has done
together with what all users have done and use that data to predict the user`s
behavior in the future or to predict how a user might like to behave if only they
were given a chance. These predictions then have to be filtered through business
logic to determine how these predictions might affect what a business system ought
to do. It is, for instance, not useful to offer to sell somebody some music if they
already have demonstrated that they own that music.
In the age of information explosion such techniques can prove very useful as
the number of items in only one category (such as music, movies, books, news, web
pages) have become so large that a single person cannot possibly view them all in
order to select relevant ones. Relying on a scoring or rating system which is
averaged across all users ignores specific demands of a user, and is particularly poor
in tasks where there is large variation in interest, for example in the
recommendation of music. Obviously, other methods to combat information
explosion exist such as web search, data clustering, and more. More recently,
collaborative filtering has been used in e-learning to promote and benefit from
students' collaboration.
4.10.3. Types of Collaborative filtering
285
i. Active filtering
Active filtering is a method that in recent years has become increasingly
popular. This popularity increase is due to the fact that there is an ever growing base
of information available to users of the World Wide Web. With an exponentially
growing amount of information being added to the internet, finding efficient and
valuable information is becoming more difficult. In recent years a basic search for
information using the World Wide Web turns out thousands of results and a high
percentage of this information is not effective and -- more often than not --
irrelevant as well. There are a large number of databases and search engines in the
market today to use for searches but a majority of the population is not familiar with
all the options available and this is where active filtering comes into effect.
Active filtering differs from other methods of collaborative filtering due to
the fact that it uses a peer-to-peer approach. This means that it is a system where
peers, coworkers, and people with similar interests rate products, reports, and other
material objects, also sharing this information over the web for other people to see.
It is a system based on the fact that people want to share consumer information with
the other peers. The users of active filtering use lists of commonly used links to
send the information over the web where others can view it and use the ratings of
the products to make their own decisions.
Active collaborative filtering can be useful to many people in many situations. This
type of filtering can be extremely important and effective in a situation where a
non-guided web search produces thousands of results that are not useful or effective
for the person locating the information. In cases where people are not comfortable
or knowledgeable about the array of databases that are available to them, active
filtering is very useful and effective.
Advantages
286
There are many advantages to using or viewing an Active collaborative filtering.
One of these advantages is an actual rating given to something of interest by a
person who has viewed the topic or product of interest. This produces a reasonable
explanation and rank from a reliable source, being the person who has come into
contact with the product. Another advantage of Active filtering is the fact that the
people want to and ultimately do provide information regarding the matter at hand.
Disadvantages
There are a few disadvantages of active filtering. One is that the opinion may be
biased to the matter. Another disadvantage is that it is a very complex system and
that many people may not support or add necessary information to the topic.
ii. Passive filtering
A method of collaborative filtering that has great potential in the future is
passive filtering, which collects information implicitly. A web browser is used to
record a user`s preferences by following and measuring their actions. These implicit
filters are then used to determine what else the user will like and recommend
potential items of interest. Implicit filtering relies on the actions of users to
determine a value rating for specific content, such as:
- Purchasing an item
- Repeatedly using, saving, printing an item
- Refer or link to a site and
- Number of times queried
An important feature of passive collaborative filtering is using the time aspect to
determine whether a user is scanning a document or fully reading the material. The
greatest strength of the system is that it takes away certain variables from the
analysis that would normally be present in active filtering.
iii. Item based filtering
287
Item based filtering is another method of collaborative filtering in which items are
rated and used as parameters instead of users. This type of filtering uses the ratings
to group various items together in groups so that consumers can compare them.
Manufacturers can locate where their product stands in the market in a consumer
based rating scale. Through this method of filtering, users or user groups use and
test the product and give it a rating that is relevant to the product and the product
class in which it falls. These users test many products and with the results, the
products are classified based on the information which the rating holds. The
products are used and tested by the same user or group in order to get an accurate
rating and eliminate some of the error that is possible in the tests that take place
under this type of filtering.
iv. Explicit versus implicit filtering
Within active and passive filtering there are explicit and implicit methods for
determining user preferences. Explicit collection of user preferences relies on the
evaluator user determining a value for the content based on some form of rating
scale. This creates a cognitive aspect to collaborative filtering. Implicit collection
does not involve the direct input of opinion from the evaluator user, but rather they
input their opinion through their actions while on the website. This reduces the
demand on the user and it reduces variables amongst users.
Activity 4. 9.
Compare and contrast various types of Collaborative filtering.
288
Summary
Analytical CRM is a consistent suite of analytical applications that help the
firm to measure, predict, and optimize customer relationships. To address these
business issues, analytical CRM includes a sound analytical infrastructure that allows to
gather all the relevant information about customers and organise it consistently. The
analytical capabilities allow a firm to identify new trends in the markets and then to
channel the investments in these markets. They also help you gain further insights into
customer needs and preferences.
Five Ss of managing customer data are : Strategy, Standards, Systems, Smart
people & Statistics.
Customer data is critical to every business. Accurate customer information
enables the firm`s sales, service and marketing teams to target specific customers
through an in-depth understanding of customers. Effective data management provides a
number of business benefits : increased sales through better knowledge of customer
needs, improved efficiency of business processes by eliminating duplication and wasted
data collection & increased compliance and data security through standardisation and
centralisation of data.
A Customer database is an organised collection of comprehensive
information about individual customers or prospects that is current, accessible, and
actionable for such marketing purposes as lead generation, lead qualification, sale of a
product or service, or maintenance of customer relationships.
Consumer privacy laws and regulations seek to protect any individual from
loss of privacy due to failures or limitations of corporate customer privacy
measures. Some organisations have been involved in using their customer databases
simply as assets to be exploited by selling the data to other firms, including
marketers. Information systems ethics require a central understanding of how
information technologies affect human choice, human action, and human potential.
A Data warehouse is an application with a computer database that collects,
integrates and stores an organization's data with the aim of producing accurate and
289
timely management of information and support for analysis techniques, such as data
mining. It is a repository of an organization's data, where the informational assets of
the organization are stored and managed, to support various activities such as
reporting, analysis, decision-making, as well as other activities such as support for
optimization of organizational operational processes.
Data mining is the non-trivial process of identifying valid, novel, potentially
useful, and ultimately understandable patterns in data. Data mining, the extraction of the
hidden predictive information from large databases, is a powerful new technology with
great potential to analyze important information in the data warehouse. Types of Data
Mining are : Sequence Mining, Web Mining, Text Mining and Spatial Data Mining.
Self Assessment Questions
1. Define Analytical CRM ? What are it`s benefits ?
2. What are the five Ss of Managing Customer data ?
3. What are the benefits of customer data management ?
4. What is Customer database ? What are it`s uses ?
5. Define Data Warehouse. What are its components ?
6. What is data mining ?
7. What are the types of data mining ?
8. What are the difficulties in data mining ?
9. Define Market Basket Analysis. What are it`s applications ?
10. What is Click stream analysis ?
11. What are the levels of click stream analysis ?
12. What are the challenges of tracking with click stream data ?
13. What are the types of personalization ?
14. Define collaborative filtering.
15. What are the types of collaborative filtering ?
Answer Key
1. Analytical CRM is a consistent suite of analytical applications that help the firm to
measure, predict, and optimize customer relationships. To address these business issues,
290
analytical CRM includes a sound analytical infrastructure that allows to gather all the
relevant information about customers and organise it consistently. It`s benefits are :
Acquire new profitable customers, Improve the firm's relationships with existing customers
by addressing their individual needs, Optimize cross-selling and up-selling opportunities,
Improve customer loyalty and reduce customers' propensity to churn.
2. Strategy : Defining what information is really important and what customer behavior
really counts.
Standards : Ensuring that "customer" and other related terms mean the same thing
throughout the organization.
Systems : Allotting sufficient processing power to process all the data.
Statistics : Turning data into knowledge through statistical processing.
Smart people : Finding smart people to structure and interpret the analysis of
customer data.
3. Effective data management provides a number of business benefits :
- increased sales through better knowledge of customer needs
- improved efficiency of business processes by eliminating duplication and wasted data
collection
- increased compliance and data security through standardisation and centralisation of
data. Other benefits are :
Generating customer insight
Segmenting customers
Building innovation
Building effective communications &
Creating loyalty
4. A customer database is an organised collection of comprehensive information about
individual customers or prospects that is current, accessible, and actionable for such
marketing purposes as lead generation, lead qualification, sale of a product or service, or
maintenance of customer relationships.
Data in the customer database is used for the following purposes:
Customer acquisition (identifying prospects).
Customer retention (deepening customer loyalty).
Increasing share of wallet by identifying which customers should receive a
particular offer.
Reactivating customers by making attractive timely offers.
Avoiding mistakes while interacting with customers.
5. A Data warehouse is an application with a computer database that collects, integrates and
stores an organization's data with the aim of producing accurate and timely management of
information and support for analysis techniques, such as data mining. It is a repository of an
organization's data, where the informational assets of the organization are stored and
managed, to support various activities such as reporting, analysis, decision-making, as well
as other activities such as support for optimization of organizational operational processes.
291
A Data Warehouse Architecture (DWA) is a way of representing the overall structure of
data, communication, processing and presentation that exists for end-user computing within
the enterprise. The architecture is made up of a number of interconnected parts:
- External Database Layer
- Information Access Layer
- Data Access Layer
- Metadata Layer
- Process Management Layer
- Application Messaging Layer
- Data Warehouse Layer
- Data Staging Layer
6. Data mining is the non-trivial process of identifying valid, novel, potentially useful, and
ultimately understandable patterns in data. Data mining, the extraction of the hidden
predictive information from large databases, is a powerful new technology with great
potential to analyze important information in the data warehouse.
7. Types of Data Mining are :
Sequence Mining
Web Mining
Text Mining and
Spatial Data Mining
8. Difficulties in data mining
Limited information
Noise or missing data
User interaction and prior
knowledge Uncertainty and
Size, updates and irrelevant fields
9. Market Basket Analysis is one of the most common and useful types of data analysis for
marketing. It is an algorithm that examines a long list of transactions in order to determine
which items are most frequently purchased together. The strength of market basket analysis
is that by using computer data mining tools, it is possible to find out, what products
consumers would logically buy together.
Market Basket Analysis finds application in following areas :
Store Layout Changes
Product Bundling
Analysis of credit card purchases.
Analysis of telephone calling patterns.
Identification of fraudulent medical insurance claims and
Analysis of telecom service purchases.
10. Click stream analysis (sometimes called click stream analytics) is the process of
collecting, analyzing, and reporting aggregate data about which pages visitors visit, in what
order and which are the results of the succession of mouse clicks each visitor makes.
292
11. There are two levels of click stream analysis, traffic analysis and e-commerce analysis.
Traffic analysis operates at the server level by collecting click stream data related to the
path the user takes when navigating through the site. E-commerce-based analysis uses click
stream data to determine the effectiveness of the site as a channel-to-market by quantifying
the user's behavior while on the Web site.
12. Challenges of tracking with click stream data are :
i. Identifying the Visitor Origin
ii. Identifying the Session
iii. Identifying the Visitor
iv. Proxy Servers
13. There are three ways to define personalization :
Personalisation at the administrator level : Administrators can define personalisation for
each user by setting the design of the portal structure for different users. Administrator can
define roles, work sets, portal layout, and access methods for different users.
Personalisation at the user level : Users can personalise their content within the control
limits set by the administrator.
Automatic personalisation through predictive technology : Predictive technology allows for
automatic personalisation based on user type, browser type, device type, user location
(whether inside or outside the firewall), connection bandwidth, and the type of event being
handled.
14. Collaborative filtering (CF) is the method of making automatic predictions (filtering)
about the interests of a user by collecting taste information from many users
(collaborating). The underlying assumption of CF approach is that, those who agreed in the
past tend will agree again in the future also.
15. Types of collaborative filtering are :
i. Active filtering
ii. Passive filtering
iii. Item based filtering and
iv. Explicit versus implicit filtering
Glossary
Analytical CRM : Analytical CRM is a consistent suite of analytical applications that help the firm
to measure, predict, and optimize customer relationships.
Customer Information Database : A customer database is an organised collection of comprehensive
information about individual customers or prospects that is current, accessible, and actionable for
such marketing purposes as lead generation, lead qualification, sale of a product or service, or
maintenance of customer relationships.
Customer privacy : Customer privacy measures are those taken by commercial organizations to
ensure that confidential customer data is not stolen or abused.
Data warehouse : Data warehouse is an application with a computer database that collects,
integrates and stores an organization's data with the aim of producing accurate and timely
management of information and support for analysis techniques, such as data mining.
293
Data Warehouse Architecture : A Data Warehouse Architecture (DWA) is a way of representing
the overall structure of data, communication, processing and presentation that exists for end-user
computing within the enterprise.
Data mining : Data mining is the non-trivial process of identifying valid, novel, potentially
useful, and ultimately understandable patterns in data.
Clustering : Clustering is a method of grouping data into different groups, so that the data in each
group share similar trends and patterns.
Market Basket Analysis : Market Basket Analysis is an algorithm that examines a long list of
transactions in order to determine which items are most frequently purchased together.
Click stream analysis : Click stream analysis is the process of collecting, analyzing, and reporting
aggregate data about which pages visitors visit, in what order and which are the results of the
succession of mouse clicks each visitor makes (that is, the click stream).
Collaborative filtering : Collaborative filtering is the method of making automatic predictions
(filtering) about the interests of a user by collecting taste information from many users
(collaborating).
________________________________________________________________
294
This post was last modified on 14 March 2022