BESTLEC
TEST BANK
Business Intelligence, Analytics, and Data Science: A Managerial Perspective,
4th edition.
By Ramesh Sharda, Dursun Delen and Efraim Turban.
All Chapters 1-11| Updated Edition| 2025
C
LE
ST
BE
1
, BESTLEC
Table of Contents
Chapter 1 An Overview of Business Intelligence, Analytics, and Data Science.............................................2
Chapter 2 Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications........30
Chapter 3 Descriptive Analytics I: Nature of Data, Big Data, and Statistical Modeling...............................59
Chapter 4 Descriptive Analytics II: Business Intelligence Data Warehousing, and Visualization................91
Chapter 5 Predictive Analytics I: Data Mining Process, Methods, and Algorithms...................................123
Chapter 6 Predictive Analytics II: Text, Web, and Social Media Analytics................................................155
Chapter 7 Deep Learning and Cognitive Computing................................................................................185
C
Chapter 8 Prescriptive Analytics: Optimization and Simulation...............................................................215
LE
Chapter 9 The Landscape of Software Tools and Languages....................................................................247
Chapter 10 New AI-Based Trends in Analytics and Data Science.............................................................278
ST
Chapter 11 Ethical, Privacy and Managerial Considerations in Analytics.................................................311
BE
2
, BESTLEC
Chapter 1 An Overview of Business Intelligence, Analytics, and Data Science
1) Computerized support is only used for organizational decisions that are responses to
external pressures, not for taking advantage of opportunities.
Answer: FALSE Diff: 2 Page Ref: 3
2) During the early days of analytics, data was often obtained from the domain experts using
manual processes to build mathematical or knowledge-based models.
Answer: TRUE
C
Diff: 2 Page Ref: 13
LE
3) Computer applications have moved from transaction processing and monitoring activities
to problem analysis and solution applications.
ST
Answer: TRUE
Diff: 1 Page Ref: 11
BE
4) Business intelligence (BI) is a specific term that describes architectures and tools only.
Answer: FALSE
Diff: 1 Page Ref: 16
3
, BESTLEC
5) The growth in hardware, software, and network capacities has had little impact on
modern BI innovations.
Answer: FALSE
Diff: 1 Page Ref: 11
6) Managing data warehouses requires special methods, including parallel computing and/or
Hadoop/Spark.
Answer: TRUE
C
Diff: 3 Page Ref: 11-12
LE
7) Managing information on operations, customers, internal procedures and employee
interactions is the domain of cognitive science.
ST
Answer: FALSE
BE
Diff: 3 Page Ref: 12
8) Decision support system (DSS) and management information system (MIS) have precise
definitions agreed to by practitioners.
Answer: FALSE
Diff: 2 Page Ref: 13
4
TEST BANK
Business Intelligence, Analytics, and Data Science: A Managerial Perspective,
4th edition.
By Ramesh Sharda, Dursun Delen and Efraim Turban.
All Chapters 1-11| Updated Edition| 2025
C
LE
ST
BE
1
, BESTLEC
Table of Contents
Chapter 1 An Overview of Business Intelligence, Analytics, and Data Science.............................................2
Chapter 2 Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications........30
Chapter 3 Descriptive Analytics I: Nature of Data, Big Data, and Statistical Modeling...............................59
Chapter 4 Descriptive Analytics II: Business Intelligence Data Warehousing, and Visualization................91
Chapter 5 Predictive Analytics I: Data Mining Process, Methods, and Algorithms...................................123
Chapter 6 Predictive Analytics II: Text, Web, and Social Media Analytics................................................155
Chapter 7 Deep Learning and Cognitive Computing................................................................................185
C
Chapter 8 Prescriptive Analytics: Optimization and Simulation...............................................................215
LE
Chapter 9 The Landscape of Software Tools and Languages....................................................................247
Chapter 10 New AI-Based Trends in Analytics and Data Science.............................................................278
ST
Chapter 11 Ethical, Privacy and Managerial Considerations in Analytics.................................................311
BE
2
, BESTLEC
Chapter 1 An Overview of Business Intelligence, Analytics, and Data Science
1) Computerized support is only used for organizational decisions that are responses to
external pressures, not for taking advantage of opportunities.
Answer: FALSE Diff: 2 Page Ref: 3
2) During the early days of analytics, data was often obtained from the domain experts using
manual processes to build mathematical or knowledge-based models.
Answer: TRUE
C
Diff: 2 Page Ref: 13
LE
3) Computer applications have moved from transaction processing and monitoring activities
to problem analysis and solution applications.
ST
Answer: TRUE
Diff: 1 Page Ref: 11
BE
4) Business intelligence (BI) is a specific term that describes architectures and tools only.
Answer: FALSE
Diff: 1 Page Ref: 16
3
, BESTLEC
5) The growth in hardware, software, and network capacities has had little impact on
modern BI innovations.
Answer: FALSE
Diff: 1 Page Ref: 11
6) Managing data warehouses requires special methods, including parallel computing and/or
Hadoop/Spark.
Answer: TRUE
C
Diff: 3 Page Ref: 11-12
LE
7) Managing information on operations, customers, internal procedures and employee
interactions is the domain of cognitive science.
ST
Answer: FALSE
BE
Diff: 3 Page Ref: 12
8) Decision support system (DSS) and management information system (MIS) have precise
definitions agreed to by practitioners.
Answer: FALSE
Diff: 2 Page Ref: 13
4
