TEST BANK
Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support,
11th Edition
M
By Ramesh Sharda, Dursun Delen
PR
ES
SI
VE
G
R
AD
ES
, Table of Content
PART I: INTRODUCTION TO ANALYTICS AND AI
1. An Overview of Business Analytics, Decision Support Systems, Business Intelligence, Data
Science, and Artificial Intelligence
M
2. Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications
3. Nature of Data, Statistical Modeling, and Visualization
PART II: PREDICTIVE ANALYTICS AND MACHINE LEARNING
PR
4. Data Mining Process, Methods, and Applications
5. Machine learning Techniques for Predictive Analytics
6. Deep Learning and Cognitive Computing
ES
7. Text Mining, Sentiment Analysis, and Social Analytics
PART III: PRESCRIPTIVE ANALYTICS AND BIG DATA
8. Prescriptive Analytics with Optimization and Simulation
SI
9. Big Data, Location Analytics, and Cloud Computing
PART IV: ROBOTICS, SOCIAL NETWORKS, AI, AND IoT
10. Robotics: Industrial and Consumer Applications
VE
11. Group Decision Making, Collaborative Systems, and AI Support
12. Knowledge Systems: Expert Systems, Recommenders, Chatbots, Virtual Personal
Assistants, and Robo Advisors
G
13. The Internet of Things As a Platform for Intelligent Applications
PART V: CAVEATS OF ANALYTICS AND AI
R
14. Implementation Issues: From Ethics and Privacy to Organizational and Societal Impacts
AD
ES
, YTREWQ
Analytics, Data Science, & Artificial Intelligence, 11e (Sharda)
Chapter 1 Overview of Business Intelligence, Analytics, Data Science, and Artificial
Intelligence: Systems for Decision Support
M
1) In the opening case KONE has minimized downtime and shortened the repair time.
Answer: TRUE
Diff: 2 Page Ref: 4
PR
2) Intelligent technologies are limited to small-scale projects when they include AI combined
with IoT.
Answer: FALSE
Diff: 2 Page Ref: 5
3) Decision making is one of the most important activities in organizations of all kind– probably
ES
the most important one.
Answer: TRUE
Diff: 1 Page Ref: 5
4) Managers historically considered decision making purely a science.
Answer: FALSE
SI
Diff: 1 Page Ref: 6
5) With more data and analysis technologies, more alternatives can be evaluated, forecasts can be
improved, risk analysis can be performed quickly, and the views of experts can be collected
VE
quickly and at a reduced cost.
Answer: TRUE
Diff: 2 Page Ref: 8
6) It is generally best to rely on a trial-and-error approach to management.
Answer: FALSE
G
Diff: 2 Page Ref: 7
7) A major characteristic of computerized decision support and many BI tools (notably those of
R
business analytics) is the inclusion of at least one model.
Answer: TRUE
Diff: 2 Page Ref: 13
AD
8) The definition of implementation is straightforward because implementation is a simple, direct
process with defined boundaries.
Answer: FALSE
Diff: 2 Page Ref: 13
ES
9) Structured problems are encountered in only unique situations.
Answer: FALSE
Diff: 3 Page Ref: 16
REWQ
, YTREWQ
10) Unstructured problems can be fully supported by standard computerized quantitative
methods.
Answer: FALSE
Diff: 3 Page Ref: 16
M
11) During the 1990s, the primary focus of information systems support for decision making
focused on providing structured, periodic reports that a manager could use for decision making.
Answer: FALSE
PR
Diff: 3 Page Ref: 22
12) Decision support systems couple the intellectual resources of individuals with the capabilities
of the computer to improve the quality of decisions. It is a computer-based support system for
management decision makers who deal with semistructured problems.
Answer: TRUE
ES
Diff: 2 Page Ref: 22
13) The term decision support system is a very specific term that implies the same tool, system,
and development approach to most developers.
Answer: FALSE
Diff: 3 Page Ref: 23
SI
14) BI systems rely on a DW as the information source for creating insight and supporting
managerial decisions.
Answer: TRUE
VE
Diff: 2 Page Ref: 27
15) One of the four components of BI systems, business performance management, is a
collection of source data in the data warehouse.
Answer: FALSE
G
Diff: 3 Page Ref: 25
16) Analytics is the process of developing actionable decisions or recommendations for actions
based on insights generated from historical data.
R
Answer: TRUE
Diff: 3 Page Ref: 31
AD
17) The use of dashboards and data visualizations is seldom effective in finding efficiencies in
organizations, as demonstrated by the Seattle Children's Hospital Case Study.
Answer: FALSE
Diff: 2 Page Ref: 32
18) The use of statistics in baseball by the Oakland Athletics, as described in the Moneyball
ES
book, is an example of the effectiveness of prescriptive analytics.
Answer: TRUE
Diff: 2 Page Ref: 39
REWQ
Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support,
11th Edition
M
By Ramesh Sharda, Dursun Delen
PR
ES
SI
VE
G
R
AD
ES
, Table of Content
PART I: INTRODUCTION TO ANALYTICS AND AI
1. An Overview of Business Analytics, Decision Support Systems, Business Intelligence, Data
Science, and Artificial Intelligence
M
2. Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications
3. Nature of Data, Statistical Modeling, and Visualization
PART II: PREDICTIVE ANALYTICS AND MACHINE LEARNING
PR
4. Data Mining Process, Methods, and Applications
5. Machine learning Techniques for Predictive Analytics
6. Deep Learning and Cognitive Computing
ES
7. Text Mining, Sentiment Analysis, and Social Analytics
PART III: PRESCRIPTIVE ANALYTICS AND BIG DATA
8. Prescriptive Analytics with Optimization and Simulation
SI
9. Big Data, Location Analytics, and Cloud Computing
PART IV: ROBOTICS, SOCIAL NETWORKS, AI, AND IoT
10. Robotics: Industrial and Consumer Applications
VE
11. Group Decision Making, Collaborative Systems, and AI Support
12. Knowledge Systems: Expert Systems, Recommenders, Chatbots, Virtual Personal
Assistants, and Robo Advisors
G
13. The Internet of Things As a Platform for Intelligent Applications
PART V: CAVEATS OF ANALYTICS AND AI
R
14. Implementation Issues: From Ethics and Privacy to Organizational and Societal Impacts
AD
ES
, YTREWQ
Analytics, Data Science, & Artificial Intelligence, 11e (Sharda)
Chapter 1 Overview of Business Intelligence, Analytics, Data Science, and Artificial
Intelligence: Systems for Decision Support
M
1) In the opening case KONE has minimized downtime and shortened the repair time.
Answer: TRUE
Diff: 2 Page Ref: 4
PR
2) Intelligent technologies are limited to small-scale projects when they include AI combined
with IoT.
Answer: FALSE
Diff: 2 Page Ref: 5
3) Decision making is one of the most important activities in organizations of all kind– probably
ES
the most important one.
Answer: TRUE
Diff: 1 Page Ref: 5
4) Managers historically considered decision making purely a science.
Answer: FALSE
SI
Diff: 1 Page Ref: 6
5) With more data and analysis technologies, more alternatives can be evaluated, forecasts can be
improved, risk analysis can be performed quickly, and the views of experts can be collected
VE
quickly and at a reduced cost.
Answer: TRUE
Diff: 2 Page Ref: 8
6) It is generally best to rely on a trial-and-error approach to management.
Answer: FALSE
G
Diff: 2 Page Ref: 7
7) A major characteristic of computerized decision support and many BI tools (notably those of
R
business analytics) is the inclusion of at least one model.
Answer: TRUE
Diff: 2 Page Ref: 13
AD
8) The definition of implementation is straightforward because implementation is a simple, direct
process with defined boundaries.
Answer: FALSE
Diff: 2 Page Ref: 13
ES
9) Structured problems are encountered in only unique situations.
Answer: FALSE
Diff: 3 Page Ref: 16
REWQ
, YTREWQ
10) Unstructured problems can be fully supported by standard computerized quantitative
methods.
Answer: FALSE
Diff: 3 Page Ref: 16
M
11) During the 1990s, the primary focus of information systems support for decision making
focused on providing structured, periodic reports that a manager could use for decision making.
Answer: FALSE
PR
Diff: 3 Page Ref: 22
12) Decision support systems couple the intellectual resources of individuals with the capabilities
of the computer to improve the quality of decisions. It is a computer-based support system for
management decision makers who deal with semistructured problems.
Answer: TRUE
ES
Diff: 2 Page Ref: 22
13) The term decision support system is a very specific term that implies the same tool, system,
and development approach to most developers.
Answer: FALSE
Diff: 3 Page Ref: 23
SI
14) BI systems rely on a DW as the information source for creating insight and supporting
managerial decisions.
Answer: TRUE
VE
Diff: 2 Page Ref: 27
15) One of the four components of BI systems, business performance management, is a
collection of source data in the data warehouse.
Answer: FALSE
G
Diff: 3 Page Ref: 25
16) Analytics is the process of developing actionable decisions or recommendations for actions
based on insights generated from historical data.
R
Answer: TRUE
Diff: 3 Page Ref: 31
AD
17) The use of dashboards and data visualizations is seldom effective in finding efficiencies in
organizations, as demonstrated by the Seattle Children's Hospital Case Study.
Answer: FALSE
Diff: 2 Page Ref: 32
18) The use of statistics in baseball by the Oakland Athletics, as described in the Moneyball
ES
book, is an example of the effectiveness of prescriptive analytics.
Answer: TRUE
Diff: 2 Page Ref: 39
REWQ
