Download GTU (Gujarat Technological University) MBA (Master of Business Administration) 2018 Winter 2nd Sem 3529904 Business Analytics Ba Previous Question Paper
Seat No.: ________ Enrolment No.___________
GUJARAT TECHNOLOGICAL UNIVERSITY
MBA (PART TIME) ? SEMESTER 2? EXAMINATION ? WINTER 2018
Subject Code: 3529904 Date:27/12/2018
Subject Name: Business Analytics (BA)
Time: 02.30 PM to 05.30 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 Explain Terms.
(a) Define Predictive Analytics.
(b) What is Data Lake?
(c) Define Business Intelligence.
(d) Name different OLAP architectures.
(e) List different sources of Unstructured Data.
(f) List the operations which can be performed on a MOLAP cube.
(g) What is a Dashboard?
14
Q.2 (a) Explain difference between Business Analytics (BA) and Business
Intelligence (BI).
07
(b) How IT in business helps in
a) Improving office productivity and office automation.
b) Improved marketing & customer support.
07
OR
(b) What are the requirements and common expectations of information
users in a business?
07
Q.3 (a) What are the advantages of structured data? 07
(b) What is web analytics? What are the uses of web analytics in business? 07
OR
Q.3 (a) What is machine learning? Explain different types of machine learning. 07
(b) Give real life applications where you would use data mining. 07
Q.4 CASE STUDY:
Health care industry is one of the world?s fastest-growing industries;
consuming over 10 percent of gross domestic product (GDP) of most
developed nations. The World Health Organization estimates there are
9.2 million physicians, 19.4 million nurses and midwives, 1.9 million
dentists and other dentistry personnel, 2.6 million pharmacists and
other pharmaceutical personnel, and over 1.3 million community health
workers worldwide, making the health care industry one of the largest
segments of the workforce. Obviously, such an industry also creates
voluminous data in respect of patients, diseases, diagnosis, medicines,
research, etc.
Indian healthcare industry is engaged in generating zettabytes (1021
gigabytes) of data every day by capturing patient care records,
prescriptions, diagnostic tests, insurance claims, equipment generated
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Page 1 of 3
Seat No.: ________ Enrolment No.___________
GUJARAT TECHNOLOGICAL UNIVERSITY
MBA (PART TIME) ? SEMESTER 2? EXAMINATION ? WINTER 2018
Subject Code: 3529904 Date:27/12/2018
Subject Name: Business Analytics (BA)
Time: 02.30 PM to 05.30 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 Explain Terms.
(a) Define Predictive Analytics.
(b) What is Data Lake?
(c) Define Business Intelligence.
(d) Name different OLAP architectures.
(e) List different sources of Unstructured Data.
(f) List the operations which can be performed on a MOLAP cube.
(g) What is a Dashboard?
14
Q.2 (a) Explain difference between Business Analytics (BA) and Business
Intelligence (BI).
07
(b) How IT in business helps in
a) Improving office productivity and office automation.
b) Improved marketing & customer support.
07
OR
(b) What are the requirements and common expectations of information
users in a business?
07
Q.3 (a) What are the advantages of structured data? 07
(b) What is web analytics? What are the uses of web analytics in business? 07
OR
Q.3 (a) What is machine learning? Explain different types of machine learning. 07
(b) Give real life applications where you would use data mining. 07
Q.4 CASE STUDY:
Health care industry is one of the world?s fastest-growing industries;
consuming over 10 percent of gross domestic product (GDP) of most
developed nations. The World Health Organization estimates there are
9.2 million physicians, 19.4 million nurses and midwives, 1.9 million
dentists and other dentistry personnel, 2.6 million pharmacists and
other pharmaceutical personnel, and over 1.3 million community health
workers worldwide, making the health care industry one of the largest
segments of the workforce. Obviously, such an industry also creates
voluminous data in respect of patients, diseases, diagnosis, medicines,
research, etc.
Indian healthcare industry is engaged in generating zettabytes (1021
gigabytes) of data every day by capturing patient care records,
prescriptions, diagnostic tests, insurance claims, equipment generated
Page 2 of 3
data like ECG, X-rays, MRI Scan, Mammography, Sonography,
Computer Assisted Tomography, etc., for monitoring vital signs and
most importantly the medical research.
Using data analytics provides the means to find answers to the issues
facing the health care industry. Following are some of the services that
form the underlying layer of analytics in the Healthcare Industry:
Clinical Data Management (CDM) Services ? that addresses the
need for records of patient that includes demographics, patient medical
history, allergies, laboratory test results, treatment responses, mapping
of symptoms and drugs etc. Analytics in this area can support fact
based decisions in areas of reduction of medical errors, manage
diseases, understand physician?s performance and retain patients.
Compliance Analytics ? that addresses the customers? need to adhere
to national and sub national healthcare regulations and similar laws
worldwide. Improvement in use of wide spread digital data will support
audits, competitive returns bench-marking and spend fraud pattern
detection capability.
Social Media Intelligence/Analytics ? that helps identify deep
business insights on patients sentiments, their requirements, treatment
effectiveness, peer physician preferences, key opinion leader?s
recommendations, disease spread and concentration etc. using data and
opinion from social media.
Financial Analytics ? will lead to enhance ROI, improved utilization
of hospital infrastructure and human resources, optimize capital
management, optimize supply chain and reduce frauds.
Service Analytics for Medical Devices ? that ensures monitoring and
tracking of all after sales and service related processes, offers insights
into supplies management and ensures proactive as well as preventive
maintenance. The solution is aimed at the effective management of the
services business of medical devices.
Predictive Models ? can help to get to know the patients better by
processing historical data of patients to find root cause analysis and
trends so that the patients can be delivered quality, cost effective
lifesaving services.
Clinical Analytics ? like detecting post-operative complications,
predicting 30 day risk of readmission, detecting potential delays in
diagnosis, predicting out of intensive care unit death, etc.
Based on the above information answer the following:
Q.4 (a) Give example of descriptive and predictive analytics which can be used
by healthcare sector.
07
(b) List different types of data that a hospital collects and processes by
categorizing them into structured, semi structured and unstructured.
07
OR
Q.4 (a) How a hospital can use prescriptive analytics to optimize various
processes in a hospital.
07
(b) Justify that hospital generates big data in terms of Volume, Variety,
Velocity, Veracity and Value.
07
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Page 1 of 3
Seat No.: ________ Enrolment No.___________
GUJARAT TECHNOLOGICAL UNIVERSITY
MBA (PART TIME) ? SEMESTER 2? EXAMINATION ? WINTER 2018
Subject Code: 3529904 Date:27/12/2018
Subject Name: Business Analytics (BA)
Time: 02.30 PM to 05.30 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 Explain Terms.
(a) Define Predictive Analytics.
(b) What is Data Lake?
(c) Define Business Intelligence.
(d) Name different OLAP architectures.
(e) List different sources of Unstructured Data.
(f) List the operations which can be performed on a MOLAP cube.
(g) What is a Dashboard?
14
Q.2 (a) Explain difference between Business Analytics (BA) and Business
Intelligence (BI).
07
(b) How IT in business helps in
a) Improving office productivity and office automation.
b) Improved marketing & customer support.
07
OR
(b) What are the requirements and common expectations of information
users in a business?
07
Q.3 (a) What are the advantages of structured data? 07
(b) What is web analytics? What are the uses of web analytics in business? 07
OR
Q.3 (a) What is machine learning? Explain different types of machine learning. 07
(b) Give real life applications where you would use data mining. 07
Q.4 CASE STUDY:
Health care industry is one of the world?s fastest-growing industries;
consuming over 10 percent of gross domestic product (GDP) of most
developed nations. The World Health Organization estimates there are
9.2 million physicians, 19.4 million nurses and midwives, 1.9 million
dentists and other dentistry personnel, 2.6 million pharmacists and
other pharmaceutical personnel, and over 1.3 million community health
workers worldwide, making the health care industry one of the largest
segments of the workforce. Obviously, such an industry also creates
voluminous data in respect of patients, diseases, diagnosis, medicines,
research, etc.
Indian healthcare industry is engaged in generating zettabytes (1021
gigabytes) of data every day by capturing patient care records,
prescriptions, diagnostic tests, insurance claims, equipment generated
Page 2 of 3
data like ECG, X-rays, MRI Scan, Mammography, Sonography,
Computer Assisted Tomography, etc., for monitoring vital signs and
most importantly the medical research.
Using data analytics provides the means to find answers to the issues
facing the health care industry. Following are some of the services that
form the underlying layer of analytics in the Healthcare Industry:
Clinical Data Management (CDM) Services ? that addresses the
need for records of patient that includes demographics, patient medical
history, allergies, laboratory test results, treatment responses, mapping
of symptoms and drugs etc. Analytics in this area can support fact
based decisions in areas of reduction of medical errors, manage
diseases, understand physician?s performance and retain patients.
Compliance Analytics ? that addresses the customers? need to adhere
to national and sub national healthcare regulations and similar laws
worldwide. Improvement in use of wide spread digital data will support
audits, competitive returns bench-marking and spend fraud pattern
detection capability.
Social Media Intelligence/Analytics ? that helps identify deep
business insights on patients sentiments, their requirements, treatment
effectiveness, peer physician preferences, key opinion leader?s
recommendations, disease spread and concentration etc. using data and
opinion from social media.
Financial Analytics ? will lead to enhance ROI, improved utilization
of hospital infrastructure and human resources, optimize capital
management, optimize supply chain and reduce frauds.
Service Analytics for Medical Devices ? that ensures monitoring and
tracking of all after sales and service related processes, offers insights
into supplies management and ensures proactive as well as preventive
maintenance. The solution is aimed at the effective management of the
services business of medical devices.
Predictive Models ? can help to get to know the patients better by
processing historical data of patients to find root cause analysis and
trends so that the patients can be delivered quality, cost effective
lifesaving services.
Clinical Analytics ? like detecting post-operative complications,
predicting 30 day risk of readmission, detecting potential delays in
diagnosis, predicting out of intensive care unit death, etc.
Based on the above information answer the following:
Q.4 (a) Give example of descriptive and predictive analytics which can be used
by healthcare sector.
07
(b) List different types of data that a hospital collects and processes by
categorizing them into structured, semi structured and unstructured.
07
OR
Q.4 (a) How a hospital can use prescriptive analytics to optimize various
processes in a hospital.
07
(b) Justify that hospital generates big data in terms of Volume, Variety,
Velocity, Veracity and Value.
07
Page 3 of 3
Q.5
CASE STUDY:
An Indian multinational company has a presence in 5 countries, namely
India, Bangladesh, UK, Australia and New Zealand. It has a global
customer base of 3 million customers. It has four product lines, namely,
Apparels, Fashion Accessories, Cosmetics & Beauty Products, and
Health Foods & Supplements. The headquarters is located at Mumbai,
India. With growing businesses all over the world, the country manager
is responsible for country wide sales and has to report month wise or
quarter wise sales to the head office at India. Also the offices all over
the world has to process customer documentations, e-mails from all
business associates, summary statements of sales across different
regions, generate MIS for top management, arranging for business
presentations for clients, facilitate online video conferences with
business associates and so on. With growing business and multi
locational presence the company processes huge volume of various
types of data daily.
Give suitable answers in relation to the above case.
(a) Which kind of IT infrastructure do you suggest to the company for
(i) Transaction Processing
(ii) Improving Office Productivity
(iii) MIS reporting
07
(b) How can the company benefit from data mining and machine learning?
07
OR
(a) Give some example of how you can use a multi-dimensional OLAP.
Show some hypothetical OLAP cubes by stating some dimensions and
measures.
07
(b)
Show how you can do slicing, dicing, rollup and roll down operation
on any cube you have shown in the example.
07
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This post was last modified on 19 February 2020