TEST BANK FOR
Business Intelligence, Analytics, Data Science, and AI, 5th Edition by Ramesh Sharda, Dursun
Delen, Efraim Turban
Chapter 1-11
questions) and are asked to analyze the legal issues involved. These require students to apply specific legal principles and statutes to the facts presented in the scenario.Multiple
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
Chapter 8 Prescriptive Analytics: Optimization and Simulation ................................................................ 215
Chapter 9 The Landscape of Software Tools and Languages ..................................................................... 247
Chapter 10 New AI-Based Trends in Analytics and Data Science .............................................................. 278
Chapter 11 Ethical, Privacy and Managerial Considerations in Analytics .................................................. 311
, Chapter 1 An Overview of Business Intelligence, Analytics, and
Data Science
questions) and are asked to analyze the legal issues involved. These require students to apply specific legal principles and statutes to the facts presented in the scenario.Multiple of Law EducationLaw education provides students
with the knowledge of legal principles, case law, legal frameworks, and ethical issues. It prepares students for l
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
Diff: 1 Page Ref: 32
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
Diff: 2 Page Ref: 56
3) Computer applications have moved from transaction processing and monitoring activities to
problem analysis and decision support applications.
Answer: TRUE
Diff: 1 Page Ref: 48
4) Business intelligence is a specific term that describes a variety of information technology
and data capturing focused system architectures.
Answer: FALSE Diff: 2
Page Ref: 46
5) The growth in hardware, software, and network capacities were the core
contributors to the proliferation of decision support and analytics systems. Answer:
FALSE
Diff: 2 Page Ref: 48
6) Managing data warehouses requires special methods, including parallel and cloud
computing along with Hadoop/Spark.
Answer: TRUE
Diff: 2 Page Ref: 49
7) Managing information on operations, customers, internal procedures, and employee
interactions is the domain of cognitive science.
Answer: FALSE Diff: 3
Page Ref: 49
8) Decision support system (DSS), analytics, and management information system (MIS) have
, precise definitions agreed to by most practitioners.
Answer: FALSE Diff: 2
Page Ref: 55
9) Of all analytics types (i.e., descriptive, predictive, and prescriptive), data mining is most
closely related to predictive analytics.
Answer: TRUE
Diff: 1 Page Ref: 65
10) Major commercial business intelligence (BI) products and services were well established
in the early 1970s.
Answer: FALSE Diff: 2
Page Ref: 55
questions) and are asked to analyze the legal issues involved. These require students to apply specific legal principles and statutes to the facts presented in the scenario.Multiple principles, case law, legal frameworks, and ethical
issues. It prepares students for l
11) 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
Diff: 3 Page Ref: 61
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.
Answer: TRUE
Diff: 2 Page Ref: 61
13) Data warehouses are intended to work with informational data used for online transaction
processing (OLTP) systems.
Answer: TRUE
Diff: 2 Page Ref: 61
14) Successful BI is a tool developed by and developed for the information systems
department.
Answer: FALSE Diff: 2
Page Ref: 61
15) The time between new paradigm shifts in information systems and particularly in analytics
has been getting longer.
, Answer: FALSE Diff: 2
Page Ref: 57
16) 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
Diff: 2 Page Ref: 62
questions) and are asked to analyze the legal issues involved. These require students to apply specific legal principles and statutes to the facts presented in the scenario.Multiple prepares students for l
17) Demands for instant, on-demand access to dispersed information decrease as firms
successfully integrate BI into their operations.
Answer: FALSE Diff: 3
Page Ref: 51
18) Simon's decision process involves three major phases: intelligence, design, and choice.
Answer: TRUE
Diff: 1 Page Ref: 50
19) The use of dashboards and data visualizations is often very effective in identifying
issues and opportunities in organizations.
Answer: TRUE
Diff: 2 Page Ref: 66
20) The use of statistics in baseball by the Oakland Athletics, as described in the Moneyball
case study, is an example of the effectiveness of data analytics. Answer: TRUE
Diff: 2 Page Ref: 33
21) The intelligence phase of the decision process involves developing a model that
represents the underlying system.
Answer: FALSE Diff: 2
Page Ref: 50
22) The goal of prescriptive analytics is to use data and machine learning tools to forecast the
future values of the variables of interest.
Answer: FALSE Diff: 2
Page Ref: 66
Business Intelligence, Analytics, Data Science, and AI, 5th Edition by Ramesh Sharda, Dursun
Delen, Efraim Turban
Chapter 1-11
questions) and are asked to analyze the legal issues involved. These require students to apply specific legal principles and statutes to the facts presented in the scenario.Multiple
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
Chapter 8 Prescriptive Analytics: Optimization and Simulation ................................................................ 215
Chapter 9 The Landscape of Software Tools and Languages ..................................................................... 247
Chapter 10 New AI-Based Trends in Analytics and Data Science .............................................................. 278
Chapter 11 Ethical, Privacy and Managerial Considerations in Analytics .................................................. 311
, Chapter 1 An Overview of Business Intelligence, Analytics, and
Data Science
questions) and are asked to analyze the legal issues involved. These require students to apply specific legal principles and statutes to the facts presented in the scenario.Multiple of Law EducationLaw education provides students
with the knowledge of legal principles, case law, legal frameworks, and ethical issues. It prepares students for l
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
Diff: 1 Page Ref: 32
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
Diff: 2 Page Ref: 56
3) Computer applications have moved from transaction processing and monitoring activities to
problem analysis and decision support applications.
Answer: TRUE
Diff: 1 Page Ref: 48
4) Business intelligence is a specific term that describes a variety of information technology
and data capturing focused system architectures.
Answer: FALSE Diff: 2
Page Ref: 46
5) The growth in hardware, software, and network capacities were the core
contributors to the proliferation of decision support and analytics systems. Answer:
FALSE
Diff: 2 Page Ref: 48
6) Managing data warehouses requires special methods, including parallel and cloud
computing along with Hadoop/Spark.
Answer: TRUE
Diff: 2 Page Ref: 49
7) Managing information on operations, customers, internal procedures, and employee
interactions is the domain of cognitive science.
Answer: FALSE Diff: 3
Page Ref: 49
8) Decision support system (DSS), analytics, and management information system (MIS) have
, precise definitions agreed to by most practitioners.
Answer: FALSE Diff: 2
Page Ref: 55
9) Of all analytics types (i.e., descriptive, predictive, and prescriptive), data mining is most
closely related to predictive analytics.
Answer: TRUE
Diff: 1 Page Ref: 65
10) Major commercial business intelligence (BI) products and services were well established
in the early 1970s.
Answer: FALSE Diff: 2
Page Ref: 55
questions) and are asked to analyze the legal issues involved. These require students to apply specific legal principles and statutes to the facts presented in the scenario.Multiple principles, case law, legal frameworks, and ethical
issues. It prepares students for l
11) 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
Diff: 3 Page Ref: 61
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.
Answer: TRUE
Diff: 2 Page Ref: 61
13) Data warehouses are intended to work with informational data used for online transaction
processing (OLTP) systems.
Answer: TRUE
Diff: 2 Page Ref: 61
14) Successful BI is a tool developed by and developed for the information systems
department.
Answer: FALSE Diff: 2
Page Ref: 61
15) The time between new paradigm shifts in information systems and particularly in analytics
has been getting longer.
, Answer: FALSE Diff: 2
Page Ref: 57
16) 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
Diff: 2 Page Ref: 62
questions) and are asked to analyze the legal issues involved. These require students to apply specific legal principles and statutes to the facts presented in the scenario.Multiple prepares students for l
17) Demands for instant, on-demand access to dispersed information decrease as firms
successfully integrate BI into their operations.
Answer: FALSE Diff: 3
Page Ref: 51
18) Simon's decision process involves three major phases: intelligence, design, and choice.
Answer: TRUE
Diff: 1 Page Ref: 50
19) The use of dashboards and data visualizations is often very effective in identifying
issues and opportunities in organizations.
Answer: TRUE
Diff: 2 Page Ref: 66
20) The use of statistics in baseball by the Oakland Athletics, as described in the Moneyball
case study, is an example of the effectiveness of data analytics. Answer: TRUE
Diff: 2 Page Ref: 33
21) The intelligence phase of the decision process involves developing a model that
represents the underlying system.
Answer: FALSE Diff: 2
Page Ref: 50
22) The goal of prescriptive analytics is to use data and machine learning tools to forecast the
future values of the variables of interest.
Answer: FALSE Diff: 2
Page Ref: 66
