TEST BANK
BUSINESS INTELLIGENCE, ANALYTICS AND DATA
SCIENCE
, 1|PAGE
TABLE OF CONTENTS
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
,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
Diff: 3 Page Ref: 11-12
7) Managing Information On Operations, Customers, Internal Procedures And
Employee Interactions Is The Domain Of Cognitive Science.
Answer- False
Diff: 3 Page Ref: 12
BUSINESS INTELLIGENCE, ANALYTICS AND DATA
SCIENCE
, 1|PAGE
TABLE OF CONTENTS
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
,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
Diff: 3 Page Ref: 11-12
7) Managing Information On Operations, Customers, Internal Procedures And
Employee Interactions Is The Domain Of Cognitive Science.
Answer- False
Diff: 3 Page Ref: 12
