Business Intelligence, Analytics, and Data Science: A
Managerial Perspective 4th Edition by Ramesh
Sharda| TEST BANK
Chapter 1-8| All Chapters Consisting of Verified
Questions & 100% Accurate Answers for the Study
TB
Ac
Page | 1
er
, TABLE OF CONTENT
1. An Overview of Business Intelligence, Analytics, and Data Science
2. Descriptive Analytics I: Nature of Data, Statistical Modeling, and Visualization
3. Descriptive Analytics II: Business Intelligence and Data Warehousing
4. Predictive Analytics I: Data Mining Process, Methods, and Algorithms
5. Predictive Analytics II: Text, Web, and Social Media Analytics
6. Prescriptive Analytics: Optimization and Simulation
7. Big Data Concepts and Tools
8. Future Trends, Privacy and Managerial Considerations in Analytics
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.
Right 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.
Right Answer: TRUE
Diff: 2 Page Ref: 13
3) Computer applications have moved from transaction processing and monitoring activities to
problem analysis and solution applications.
Right Answer: TRUE
Diff: 1 Page Ref: 11
TB
4) Business intelligence (BI) is a specific term that describes architectures and tools only.
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Page | 2
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,Right Answer: FALSE
Diff: 1 Page Ref: 16
5) The growth in hardware, software, and network capacities has had little impact on modern BI
innovations.
Right Answer: FALSE
Diff: 1 Page Ref: 11
6) Managing data warehouses requires special methods, including parallel computing and/or
Hadoop/Spark.
Right Answer: TRUE
Diff: 3 Page Ref: 11-12
7) Managing information on operations, customers, internal procedures and employee interactions is
the domain of cognitive science.
Right Answer: FALSE
Diff: 3 Page Ref: 12
8) Decision support system (DSS) and management information system (MIS) have precise
definitions agreed to by practitioners.
Right Answer: FALSE
Diff: 2 Page Ref: 13
9) In the 2000s, the DW-driven DSSs began to be called BI systems.
Right Answer: TRUE
Diff: 1 Page Ref: 14
10) Major commercial business intelligence (BI) products and services were well established in the
early 1970s.
Right Answer: FALSE
TB
Diff: 2 Page Ref: 15
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Page | 3
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, 11) Information systems that support such transactions as ATM withdrawals, bank deposits, and cash
register scans at the grocery store represent transaction processing, a critical branch of BI.
12) 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.
Right Answer: TRUE
Diff: 2 Page Ref: 20
13) Successful BI is a tool for the information systems department, but is not exposed to the larger
organization.
Right Answer: FALSE
Diff: 2 Page Ref: 20
14) BI represents a bold new paradigm in which the company's business strategy must be aligned to
its business intelligence analysis initiatives.
Right Answer: FALSE
Diff: 2 Page Ref: 20-21
15) 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.
Right Answer: TRUE
Diff: 2 Page Ref: 21
16) Demands for instant, on-demand access to dispersed information decrease as firms successfully
integrate BI into their operations.
17) The use of dashboards and data visualizations is seldom effective in identifying issues in
organizations, as demonstrated by the Silvaris Corporation Case Study.
TB
Right Answer: FALSE
Ac
Page | 4
er
Managerial Perspective 4th Edition by Ramesh
Sharda| TEST BANK
Chapter 1-8| All Chapters Consisting of Verified
Questions & 100% Accurate Answers for the Study
TB
Ac
Page | 1
er
, TABLE OF CONTENT
1. An Overview of Business Intelligence, Analytics, and Data Science
2. Descriptive Analytics I: Nature of Data, Statistical Modeling, and Visualization
3. Descriptive Analytics II: Business Intelligence and Data Warehousing
4. Predictive Analytics I: Data Mining Process, Methods, and Algorithms
5. Predictive Analytics II: Text, Web, and Social Media Analytics
6. Prescriptive Analytics: Optimization and Simulation
7. Big Data Concepts and Tools
8. Future Trends, Privacy and Managerial Considerations in Analytics
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.
Right 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.
Right Answer: TRUE
Diff: 2 Page Ref: 13
3) Computer applications have moved from transaction processing and monitoring activities to
problem analysis and solution applications.
Right Answer: TRUE
Diff: 1 Page Ref: 11
TB
4) Business intelligence (BI) is a specific term that describes architectures and tools only.
Ac
Page | 2
er
,Right Answer: FALSE
Diff: 1 Page Ref: 16
5) The growth in hardware, software, and network capacities has had little impact on modern BI
innovations.
Right Answer: FALSE
Diff: 1 Page Ref: 11
6) Managing data warehouses requires special methods, including parallel computing and/or
Hadoop/Spark.
Right Answer: TRUE
Diff: 3 Page Ref: 11-12
7) Managing information on operations, customers, internal procedures and employee interactions is
the domain of cognitive science.
Right Answer: FALSE
Diff: 3 Page Ref: 12
8) Decision support system (DSS) and management information system (MIS) have precise
definitions agreed to by practitioners.
Right Answer: FALSE
Diff: 2 Page Ref: 13
9) In the 2000s, the DW-driven DSSs began to be called BI systems.
Right Answer: TRUE
Diff: 1 Page Ref: 14
10) Major commercial business intelligence (BI) products and services were well established in the
early 1970s.
Right Answer: FALSE
TB
Diff: 2 Page Ref: 15
Ac
Page | 3
er
, 11) Information systems that support such transactions as ATM withdrawals, bank deposits, and cash
register scans at the grocery store represent transaction processing, a critical branch of BI.
12) 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.
Right Answer: TRUE
Diff: 2 Page Ref: 20
13) Successful BI is a tool for the information systems department, but is not exposed to the larger
organization.
Right Answer: FALSE
Diff: 2 Page Ref: 20
14) BI represents a bold new paradigm in which the company's business strategy must be aligned to
its business intelligence analysis initiatives.
Right Answer: FALSE
Diff: 2 Page Ref: 20-21
15) 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.
Right Answer: TRUE
Diff: 2 Page Ref: 21
16) Demands for instant, on-demand access to dispersed information decrease as firms successfully
integrate BI into their operations.
17) The use of dashboards and data visualizations is seldom effective in identifying issues in
organizations, as demonstrated by the Silvaris Corporation Case Study.
TB
Right Answer: FALSE
Ac
Page | 4
er
