Business Analytics, Data Science, and AI: A Managerial Approach, 6th edition
Ramesh Sharda, Delen & Turban
TEST BANK
Includes All Chapters (1 to 11 )
What’s Included?
✔ Complete Chapter-by-Chapter Test Bank
✔ Multiple Choice Questions (MCQs)
✔ True / False (TF)
,Business Intelligence, Analytics, Data Science, and AI, 6e (Sharda)
Chapter 1 An Overview of Business Analytics, Data Science, and AI
1) Computerized support is used for organizational and managerial decisions that are responses
to external pressures and to take advantage of market opportunities.
Answer: TRUE
Learning Objective: 1.1: Get introduced to the idea of analytics through understanding
applications in sports.
2) The use of statistics in baseball by the Oakland Athletics, as described in the Moneyball story
mentioned in the text, is an example of the effectiveness of data analytics.
Answer: TRUE
Learning Objective: 1.1: Get introduced to the idea of analytics through understanding
applications in sports.
3) Computer applications have moved from transaction processing and monitoring activities to
problem analysis and decision support applications.
Answer: TRUE
Learning Objective: 1.2: Understand the evolution of computer-based support for decision
making.
4) The growth in hardware, software, and network capacities were the core contributors to the
proliferation of decision support and analytics systems.
Answer: FALSE
Learning Objective: 1.2: Understand the evolution of computer-based support for decision
making.
5) Managing data warehouses requires special methods, including parallel and cloud computing
along with Hadoop/Spark.
Answer: TRUE
Learning Objective: 1.2: Understand the evolution of computer-based support for decision
making.
6) Managing information on operations, customers, internal procedures, and employee
interactions is the domain of cognitive science.
Answer: FALSE
Learning Objective: 1.2: Understand the evolution of computer-based support for decision
making.
7) Simon's decision process involves three major phases: intelligence, design, and choice.
Answer: TRUE
Learning Objective: 1.3: Understand the basic phases of decision making so as to appreciate the
need for technologies for supporting decision making.
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,8) The intelligence phase of the decision process involves developing a model that represents the
underlying system.
Answer: FALSE
Learning Objective: 1.3: Understand the basic phases of decision making so as to appreciate the
need for technologies for supporting decision making.
9) In the design phase of the human decision process, the problem or opportunity is defined
based on all available data and information.
Answer: FALSE
Learning Objective: 1.3: Understand the basic phases of decision making so as to appreciate the
need for technologies for supporting decision making.
10) 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
Learning Objective: 1.4: Learn how basic computerized decision support has evolved to include
analytics/data science/AI.
11) Decision support system (DSS), analytics, and management information system (MIS) have
precise definitions agreed to by most practitioners.
Answer: FALSE
Learning Objective: 1.4: Learn how basic computerized decision support has evolved to include
analytics/data science/AI.
12) Artificial intelligence has become the latest phase in the evolution of computerized decision
support.
Answer: TRUE
Learning Objective: 1.4: Learn how basic computerized decision support has evolved to include
analytics/data science/AI.
13) Performance dashboards provide real-time visual summaries of key performance indicators
(KPIs).
Answer: TRUE
Learning Objective: 1.4: Learn how basic computerized decision support has evolved to include
analytics/data science/AI.
14) Business intelligence is a specific term that describes a variety of information technology and
data capturing focused system architectures.
Answer: FALSE
Learning Objective: 1.5: Briefly understand the history and evolution of business intelligence–a
precursor to analytics/AI.
15) Major commercial business intelligence (BI) products and services were well established in
the early 1970s.
Answer: FALSE
Learning Objective: 1.5: Briefly understand the history and evolution of business intelligence–a
precursor to analytics/AI.
2
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, 16) Information systems that support such transactions as ATM withdrawals, bank deposits, and
cash register scans at the grocery store represent online transaction processing systems (OLAP).
Answer: FALSE
Learning Objective: 1.5: Briefly understand the history and evolution of business intelligence–a
precursor to analytics/AI.
17) Many business users in the 1980s referred to their mainframes as "the black hole," because
all the information went into it, but little ever came back, and ad hoc real-time querying was
virtually impossible.
Answer: TRUE
Learning Objective: 1.5: Briefly understand the history and evolution of business intelligence–a
precursor to analytics/AI.
18) Data warehouses are intended to work with informational data used for online transaction
processing (OLTP) systems.
Answer: FALSE
Learning Objective: 1.5: Briefly understand the history and evolution of business intelligence–a
precursor to analytics/AI.
19) Successful BI is a tool developed by and developed for the information systems department.
Answer: FALSE
Learning Objective: 1.5: Briefly understand the history and evolution of business intelligence–a
precursor to analytics/AI.
20) Business Intelligence (BI) is an umbrella term that combines architectures, tools, databases,
analytical tools, applications, and methodologies.
Answer: TRUE
Learning Objective: 1.5: Briefly understand the history and evolution of business intelligence–a
precursor to analytics/AI.
21) The competitive imperatives for BI include providing the right information to the right user
at the right time.
Answer: TRUE
Learning Objective: 1.5: Briefly understand the history and evolution of business intelligence–a
precursor to analytics/AI.
22) Traditional BI systems use a large volume of static data that has been extracted, cleansed,
and loaded into a data warehouse to produce reports and analyses.
Answer: TRUE
Learning Objective: 1.5: Briefly understand the history and evolution of business intelligence–a
precursor to analytics/AI.
23) Demands for instant, on-demand access to dispersed information decrease as firms
successfully integrate BI into their operations.
Answer: FALSE
Learning Objective: 1.5: Briefly understand the history and evolution of business intelligence–a
precursor to analytics/AI.
3
Copyright © 2027
Ramesh Sharda, Delen & Turban
TEST BANK
Includes All Chapters (1 to 11 )
What’s Included?
✔ Complete Chapter-by-Chapter Test Bank
✔ Multiple Choice Questions (MCQs)
✔ True / False (TF)
,Business Intelligence, Analytics, Data Science, and AI, 6e (Sharda)
Chapter 1 An Overview of Business Analytics, Data Science, and AI
1) Computerized support is used for organizational and managerial decisions that are responses
to external pressures and to take advantage of market opportunities.
Answer: TRUE
Learning Objective: 1.1: Get introduced to the idea of analytics through understanding
applications in sports.
2) The use of statistics in baseball by the Oakland Athletics, as described in the Moneyball story
mentioned in the text, is an example of the effectiveness of data analytics.
Answer: TRUE
Learning Objective: 1.1: Get introduced to the idea of analytics through understanding
applications in sports.
3) Computer applications have moved from transaction processing and monitoring activities to
problem analysis and decision support applications.
Answer: TRUE
Learning Objective: 1.2: Understand the evolution of computer-based support for decision
making.
4) The growth in hardware, software, and network capacities were the core contributors to the
proliferation of decision support and analytics systems.
Answer: FALSE
Learning Objective: 1.2: Understand the evolution of computer-based support for decision
making.
5) Managing data warehouses requires special methods, including parallel and cloud computing
along with Hadoop/Spark.
Answer: TRUE
Learning Objective: 1.2: Understand the evolution of computer-based support for decision
making.
6) Managing information on operations, customers, internal procedures, and employee
interactions is the domain of cognitive science.
Answer: FALSE
Learning Objective: 1.2: Understand the evolution of computer-based support for decision
making.
7) Simon's decision process involves three major phases: intelligence, design, and choice.
Answer: TRUE
Learning Objective: 1.3: Understand the basic phases of decision making so as to appreciate the
need for technologies for supporting decision making.
1
Copyright © 2027
,8) The intelligence phase of the decision process involves developing a model that represents the
underlying system.
Answer: FALSE
Learning Objective: 1.3: Understand the basic phases of decision making so as to appreciate the
need for technologies for supporting decision making.
9) In the design phase of the human decision process, the problem or opportunity is defined
based on all available data and information.
Answer: FALSE
Learning Objective: 1.3: Understand the basic phases of decision making so as to appreciate the
need for technologies for supporting decision making.
10) 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
Learning Objective: 1.4: Learn how basic computerized decision support has evolved to include
analytics/data science/AI.
11) Decision support system (DSS), analytics, and management information system (MIS) have
precise definitions agreed to by most practitioners.
Answer: FALSE
Learning Objective: 1.4: Learn how basic computerized decision support has evolved to include
analytics/data science/AI.
12) Artificial intelligence has become the latest phase in the evolution of computerized decision
support.
Answer: TRUE
Learning Objective: 1.4: Learn how basic computerized decision support has evolved to include
analytics/data science/AI.
13) Performance dashboards provide real-time visual summaries of key performance indicators
(KPIs).
Answer: TRUE
Learning Objective: 1.4: Learn how basic computerized decision support has evolved to include
analytics/data science/AI.
14) Business intelligence is a specific term that describes a variety of information technology and
data capturing focused system architectures.
Answer: FALSE
Learning Objective: 1.5: Briefly understand the history and evolution of business intelligence–a
precursor to analytics/AI.
15) Major commercial business intelligence (BI) products and services were well established in
the early 1970s.
Answer: FALSE
Learning Objective: 1.5: Briefly understand the history and evolution of business intelligence–a
precursor to analytics/AI.
2
Copyright © 2027
, 16) Information systems that support such transactions as ATM withdrawals, bank deposits, and
cash register scans at the grocery store represent online transaction processing systems (OLAP).
Answer: FALSE
Learning Objective: 1.5: Briefly understand the history and evolution of business intelligence–a
precursor to analytics/AI.
17) Many business users in the 1980s referred to their mainframes as "the black hole," because
all the information went into it, but little ever came back, and ad hoc real-time querying was
virtually impossible.
Answer: TRUE
Learning Objective: 1.5: Briefly understand the history and evolution of business intelligence–a
precursor to analytics/AI.
18) Data warehouses are intended to work with informational data used for online transaction
processing (OLTP) systems.
Answer: FALSE
Learning Objective: 1.5: Briefly understand the history and evolution of business intelligence–a
precursor to analytics/AI.
19) Successful BI is a tool developed by and developed for the information systems department.
Answer: FALSE
Learning Objective: 1.5: Briefly understand the history and evolution of business intelligence–a
precursor to analytics/AI.
20) Business Intelligence (BI) is an umbrella term that combines architectures, tools, databases,
analytical tools, applications, and methodologies.
Answer: TRUE
Learning Objective: 1.5: Briefly understand the history and evolution of business intelligence–a
precursor to analytics/AI.
21) The competitive imperatives for BI include providing the right information to the right user
at the right time.
Answer: TRUE
Learning Objective: 1.5: Briefly understand the history and evolution of business intelligence–a
precursor to analytics/AI.
22) Traditional BI systems use a large volume of static data that has been extracted, cleansed,
and loaded into a data warehouse to produce reports and analyses.
Answer: TRUE
Learning Objective: 1.5: Briefly understand the history and evolution of business intelligence–a
precursor to analytics/AI.
23) Demands for instant, on-demand access to dispersed information decrease as firms
successfully integrate BI into their operations.
Answer: FALSE
Learning Objective: 1.5: Briefly understand the history and evolution of business intelligence–a
precursor to analytics/AI.
3
Copyright © 2027
