Download GTU (Gujarat Technological University) MBA 2019 Winter 3rd Sem 4539901 Business Analytics Previous Question Paper
Seat No.: ________ Enrolment No.___________
GUJARAT TECHNOLOGICAL UNIVERSITY
MBA(PART TIME) SEMESTER ? III EXAMINATION ? WINTER 2019
Subject Code: 4539901 Date: 23-12-2019
Subject Name: Business Analytics
Time: 10:30 AM TO 1.30 PM Total Marks: 70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.
Q.1 (a) 1. Business Analytics
2. Business Intelligence
3. Data Warehouse
4. Data Visualization
5. KPI
6. Data Mining
7. Data lake
14
Q.2 (a) Explain various components of business intelligence with proper examples. 07
(b) Explain types of business analytics and discuss how companies can use these
for betterment of its business.
07
OR
(b) Explain difference between OLAP and OLTP with examples. 07
Q.3 (a) Explain different types of digital data with examples. 07
(b) Explain concept of data visualization also discuss how visual analytics helps the
companies in achieving their target.
07
OR
Q.3 (a) Explain various applications of text mining with examples. 07
(b) Explain web mining in online retail sector. 07
Q.4
The global healthcare industry is at a crisis point. Escalating costs, inconsistent
quality, a critical shortage of skilled workers and an increasing demand for
services are causing both providers and payers of care to look for innovative
ways to increase operating margins, reduce costs and improve quality and safety
?while increasing access to care. Today?s financial climate has sparked an
even broader range of new challenges for healthcare organizations, forcing
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1
Seat No.: ________ Enrolment No.___________
GUJARAT TECHNOLOGICAL UNIVERSITY
MBA(PART TIME) SEMESTER ? III EXAMINATION ? WINTER 2019
Subject Code: 4539901 Date: 23-12-2019
Subject Name: Business Analytics
Time: 10:30 AM TO 1.30 PM Total Marks: 70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.
Q.1 (a) 1. Business Analytics
2. Business Intelligence
3. Data Warehouse
4. Data Visualization
5. KPI
6. Data Mining
7. Data lake
14
Q.2 (a) Explain various components of business intelligence with proper examples. 07
(b) Explain types of business analytics and discuss how companies can use these
for betterment of its business.
07
OR
(b) Explain difference between OLAP and OLTP with examples. 07
Q.3 (a) Explain different types of digital data with examples. 07
(b) Explain concept of data visualization also discuss how visual analytics helps the
companies in achieving their target.
07
OR
Q.3 (a) Explain various applications of text mining with examples. 07
(b) Explain web mining in online retail sector. 07
Q.4
The global healthcare industry is at a crisis point. Escalating costs, inconsistent
quality, a critical shortage of skilled workers and an increasing demand for
services are causing both providers and payers of care to look for innovative
ways to increase operating margins, reduce costs and improve quality and safety
?while increasing access to care. Today?s financial climate has sparked an
even broader range of new challenges for healthcare organizations, forcing
2
many institutions to operate in a bunker mode, with management tempted to
keep doing what had worked in the past?in the hope that it will continue to
work in the future. Given the current economy, if there were ever a time for the
healthcare industry to adopt performance management principles, processes and
technologies that time is now. This paper will discuss how healthcare
institutions can leverage performance management capabilities to reduce costs,
improve care quality and promote access and transparency while driving toward
sustainable and profitable growth for the organization.
Both experience and history show that giving into the temptation to rely on the
status quo can be a fatal mistake. However, staying ahead for healthcare
organizations isn?t easy. Data pours in from multiple systems, facilities and
service lines. And IT departments are challenged to provide solutions that
enable productivity and agility, despite tight budgets. Manual processes,
inefficiencies and lack of accountability add to the mix.
(a) Explain the role of business intelligence in health care with consideration of
above situations.
07
(b) How dashboard can be utilized in health care sector. 07
OR
Q.4 (a) If business analytics is applied, then discuss with examples which types of
analysis and reporting can be generated.
07
(b) How predictive analysis will help to improve the performance management. 07
Q.5
Today, it?s particularly important that government agencies be able to detect
patterns in large, complex datasets and make critical connections. Connections
that link actions to actors, so that potential threats to the public good can be
minimized or even eliminated. Making these connections requires accessing
information of all types, often from disparate sources, to provide a foundation
for strategic and tactical decision-making; and then providing insight to those
who can make decisions and take action. Predictive analytics technologies
combine advanced analytical techniques with decision-support capabilities.
Solutions incorporating predictive analytics enable various types of government
organizations to explore data and gain insights that lead to informed decisions.
For example:
? Law enforcement agencies look for patterns in criminal behavior and
suspicious activity. This enables them to deploy personnel more
effectively and to identify possible motives and suspects.
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1
Seat No.: ________ Enrolment No.___________
GUJARAT TECHNOLOGICAL UNIVERSITY
MBA(PART TIME) SEMESTER ? III EXAMINATION ? WINTER 2019
Subject Code: 4539901 Date: 23-12-2019
Subject Name: Business Analytics
Time: 10:30 AM TO 1.30 PM Total Marks: 70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.
Q.1 (a) 1. Business Analytics
2. Business Intelligence
3. Data Warehouse
4. Data Visualization
5. KPI
6. Data Mining
7. Data lake
14
Q.2 (a) Explain various components of business intelligence with proper examples. 07
(b) Explain types of business analytics and discuss how companies can use these
for betterment of its business.
07
OR
(b) Explain difference between OLAP and OLTP with examples. 07
Q.3 (a) Explain different types of digital data with examples. 07
(b) Explain concept of data visualization also discuss how visual analytics helps the
companies in achieving their target.
07
OR
Q.3 (a) Explain various applications of text mining with examples. 07
(b) Explain web mining in online retail sector. 07
Q.4
The global healthcare industry is at a crisis point. Escalating costs, inconsistent
quality, a critical shortage of skilled workers and an increasing demand for
services are causing both providers and payers of care to look for innovative
ways to increase operating margins, reduce costs and improve quality and safety
?while increasing access to care. Today?s financial climate has sparked an
even broader range of new challenges for healthcare organizations, forcing
2
many institutions to operate in a bunker mode, with management tempted to
keep doing what had worked in the past?in the hope that it will continue to
work in the future. Given the current economy, if there were ever a time for the
healthcare industry to adopt performance management principles, processes and
technologies that time is now. This paper will discuss how healthcare
institutions can leverage performance management capabilities to reduce costs,
improve care quality and promote access and transparency while driving toward
sustainable and profitable growth for the organization.
Both experience and history show that giving into the temptation to rely on the
status quo can be a fatal mistake. However, staying ahead for healthcare
organizations isn?t easy. Data pours in from multiple systems, facilities and
service lines. And IT departments are challenged to provide solutions that
enable productivity and agility, despite tight budgets. Manual processes,
inefficiencies and lack of accountability add to the mix.
(a) Explain the role of business intelligence in health care with consideration of
above situations.
07
(b) How dashboard can be utilized in health care sector. 07
OR
Q.4 (a) If business analytics is applied, then discuss with examples which types of
analysis and reporting can be generated.
07
(b) How predictive analysis will help to improve the performance management. 07
Q.5
Today, it?s particularly important that government agencies be able to detect
patterns in large, complex datasets and make critical connections. Connections
that link actions to actors, so that potential threats to the public good can be
minimized or even eliminated. Making these connections requires accessing
information of all types, often from disparate sources, to provide a foundation
for strategic and tactical decision-making; and then providing insight to those
who can make decisions and take action. Predictive analytics technologies
combine advanced analytical techniques with decision-support capabilities.
Solutions incorporating predictive analytics enable various types of government
organizations to explore data and gain insights that lead to informed decisions.
For example:
? Law enforcement agencies look for patterns in criminal behavior and
suspicious activity. This enables them to deploy personnel more
effectively and to identify possible motives and suspects.
3
? Auditors of tax returns and Medicare/Medicaid claims compare
information across cases to understand normal activity patterns. In this
way, they can identify cases that deviate from the norm and, therefore,
warrant further investigation.
? Disease management analysts study events that led to favorable
outcomes across time and patient populations, in order to develop
optimal treatment protocols.
? Public health authorities monitor syndromic information from various
sources, looking for elevated levels of certain symptoms that signal a
widespread disease outbreak. This accelerates the process of uncovering
the cause of the outbreak.
? Network analysts protect the security of computer and communications
systems by detecting ?cyber threats.? These include unauthorized access
and the release of computer worms or viruses.
(a) Which types of data will be generated, if government uses predictive analysis
for their decision making?
07
(b) Which types of benefits will be available, if government uses predictive analysis
for their decision making?
07
OR
Q.5 (a) Explain the role of data mining in predictive analysis. 07
(b) Which types of data security threats will be generated while using predictive
analysis
07
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This post was last modified on 19 February 2020