Test Bank
Business Intelligence, Analytics, Data Science, And Ai,
By Ramesh Sharda, Dursun Delen, Efraim Turban
5th Edition
,Table Of Contents
Chapter 1. An Overview Of Business Intelligence, Analytics, Data Science, And Ai
Chapter 2. Artificial Intelligence: Concepts, Drivers, Major Technologies, And Business
Applications
Chapter 3. Descriptive Analytics I: Nature Of Data, Big Data, And Statistical Modeling
Chapter 4. Descriptive Analytics Ii: Business Intelligence Data Warehousing, And
Visualization
Chapter 5. Predictive Analytics I: Data Mining Process, Methods, And Algorithms
Chapter 6. Predictive Analytics Ii: Text, Web, And Social Media Analytics
Chapter 7. Deep Learning And Cognitive Computing
Chapter 8. Prescriptive Analytics: Optimization And Simulation
Chapter 9. Landscape Of Business Analytics Tools
Chapter 10. Ai-Based Trends In Analytics And Data Science
Chapter 11. Ethical, Privacy, And Managerial Considerations In Analytics
,Test Bank For Business Intelligence, Analytics, And Data Science: A Managerial Perspective, 4th Edition
Ramesh Sharda, Dursun Delen And Efraim
Chapter01: 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.
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.
ANSWER- True
Diff: 2 Page Ref: 13
3) Computer Applications Have Moved From Transaction Processing And Monitoring Activities To
Problem Analysis And Solution Applications.
ANSWER- True
Diff: 1 Page Ref: 11
, 4) Business Intelligence (Bi) Is A Specific Term That Describes Architectures And Tools Only.
2|PAGE
ANSWER- False
Diff: 1 Page Ref: 16
5) The Growth In Hardware, Software, And Network Capacities Has Had Little Impact On Modern Bi
Innovations.
ANSWER- False
Diff: 1 Page Ref: 11
6) Managing Data Warehouses Requires Special Methods, Including Parallel Computing And/Or
Hadoop/Spark.
ANSWER- True
Business Intelligence, Analytics, Data Science, And Ai,
By Ramesh Sharda, Dursun Delen, Efraim Turban
5th Edition
,Table Of Contents
Chapter 1. An Overview Of Business Intelligence, Analytics, Data Science, And Ai
Chapter 2. Artificial Intelligence: Concepts, Drivers, Major Technologies, And Business
Applications
Chapter 3. Descriptive Analytics I: Nature Of Data, Big Data, And Statistical Modeling
Chapter 4. Descriptive Analytics Ii: Business Intelligence Data Warehousing, And
Visualization
Chapter 5. Predictive Analytics I: Data Mining Process, Methods, And Algorithms
Chapter 6. Predictive Analytics Ii: Text, Web, And Social Media Analytics
Chapter 7. Deep Learning And Cognitive Computing
Chapter 8. Prescriptive Analytics: Optimization And Simulation
Chapter 9. Landscape Of Business Analytics Tools
Chapter 10. Ai-Based Trends In Analytics And Data Science
Chapter 11. Ethical, Privacy, And Managerial Considerations In Analytics
,Test Bank For Business Intelligence, Analytics, And Data Science: A Managerial Perspective, 4th Edition
Ramesh Sharda, Dursun Delen And Efraim
Chapter01: 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.
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.
ANSWER- True
Diff: 2 Page Ref: 13
3) Computer Applications Have Moved From Transaction Processing And Monitoring Activities To
Problem Analysis And Solution Applications.
ANSWER- True
Diff: 1 Page Ref: 11
, 4) Business Intelligence (Bi) Is A Specific Term That Describes Architectures And Tools Only.
2|PAGE
ANSWER- False
Diff: 1 Page Ref: 16
5) The Growth In Hardware, Software, And Network Capacities Has Had Little Impact On Modern Bi
Innovations.
ANSWER- False
Diff: 1 Page Ref: 11
6) Managing Data Warehouses Requires Special Methods, Including Parallel Computing And/Or
Hadoop/Spark.
ANSWER- True
