1
Business Intelligence, Analytics, and Data
Science: A Managerial Perspective 4th
Edition by Ramesh Sharda test Bank
All Chapters 1-8 Questions & Answers| A+ GRADED
Co
nfi
de
n
al
, 2
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
Co
Considerations in Analytics
nfi
de
n
al
, 3
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
4) Business intelligence (BI) is a specific term that describes architectures and tools only.
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
Co
Diff: 3 Page Ref: 11-12
nfi
7) Managing information on operations, customers, internal procedures and employee
interactions is the domain of cognitive science.
de
n
al
, 4
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
Diff: 2 Page Ref: 15
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
Co
larger organization.
nfi
Right Answer: FALSE
Diff: 2 Page Ref: 20
de
n
al
Business Intelligence, Analytics, and Data
Science: A Managerial Perspective 4th
Edition by Ramesh Sharda test Bank
All Chapters 1-8 Questions & Answers| A+ GRADED
Co
nfi
de
n
al
, 2
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
Co
Considerations in Analytics
nfi
de
n
al
, 3
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
4) Business intelligence (BI) is a specific term that describes architectures and tools only.
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
Co
Diff: 3 Page Ref: 11-12
nfi
7) Managing information on operations, customers, internal procedures and employee
interactions is the domain of cognitive science.
de
n
al
, 4
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
Diff: 2 Page Ref: 15
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
Co
larger organization.
nfi
Right Answer: FALSE
Diff: 2 Page Ref: 20
de
n
al
