i i i i
Analytics, and Data Science: A i i i i
ManagerialPerspective4thEditionby
i i i i i
Ramesh Sharda i i
All Chapters 1-8 With 100% Verified Q&As| A+ Grade
i i i i i i i i
1|P a g e
i i i i i
, TABLE OF CONTENT i i
1. An Overview of Business Intelligence, Analytics, and Data Science
i i i i i i i i
2. Descriptive Analytics I: Nature of Data, Statistical Modeling, and Visualization
i i i i i i i i i
3. Descriptive Analytics II: Business Intelligence and Data Warehousing
i i i i i i i
4. Predictive Analytics I: Data Mining Process, Methods, and Algorithms
i i i i i i i i
5. Predictive Analytics II: Text, Web, and Social Media Analytics
i i i i i i i i
6. Prescriptive Analytics: Optimization and Simulation
i i i i
7. Big Data Concepts and Tools
i i i i
8. Future Trends, Privacy and Managerial Considerations in Analytics
i i i i i i i
2|P a g e
i i i i i
, Chapter 1 An Overview of Business Intelligence, Analytics, and Data Science
i i i i i i i i i i
1) Computerized support is only used for organizational decisions that are responses to external pressures, not
i i i i i i i i i i i i i i
for taking advantage of opportunities.
i i i i i
Accurate Answer: FALSE Diff: 2 i i i i Page Ref: 3 i i
2) During the early days of analytics, data was often obtained from the domain experts using manual
i i i i i i i i i i i i i i i
processes to build mathematical or knowledge-based models.
i i i i i i i
AccurateAnswer:TRUE i i
Diff: 2 Page Ref: 13
i i i i i
3) Computer applications have moved from transaction processing and monitoring activities to problem
i i i i i i i i i i i
analysis and solution applications.
i i i i
AccurateAnswer:TRUE i i
Diff: 1 Page Ref: 11
i i i i i
4) Business intelligence (BI) is a specific term that describes architectures and tools only.
i i i i i i i i i i i i
AccurateAnswer:FALSE i i
Diff: 1 Page Ref: 16
i i i i i
5) The growth in hardware, software, and network capacities has had little impact on modern BI
i i i i i i i i i i i i i i
innovations.
i
AccurateAnswer:FALSE i i
Diff: 1 Page Ref: 11
i i i i i
6) Managing data warehouses requires special methods, including parallel computing and/or
i i i i i i i i i
Hadoop/Spark.
i
AccurateAnswer:TRUE i i
Diff: 3 Page Ref: 11-12
i i i i i
3|P a g e
i i i i i
, 7) Managing information on operations, customers, internal procedures and employee interactions is the
i i i i i i i i i i i
domain of cognitive science.
i i i i
AccurateAnswer:FALSE i i
Diff: 3 Page Ref: 12
i i i i i
8) Decision support system (DSS) and management information system (MIS) have precise definitions
i i i i i i i i i i i
agreed to by practitioners.
i i i i
AccurateAnswer:FALSE i i
Diff: 2 Page Ref: 13
i i i i i
9) In the 2000s, the DW-driven DSSs began to be called BI systems.
i i i i i i i i i i i
AccurateAnswer:TRUE i i
Diff: 1 Page Ref: 14
i i i i i
10) Major commercial business intelligence (BI) products and services were well established in the early
i i i i i i i i i i i i i
1970s.
i
AccurateAnswer:FALSE i i
Diff: 2 Page Ref: 15
i i i i i
11) Information systems that support such transactions as ATM withdrawals, bank deposits, and cash
i i i i i i i i i i i i
register scans at the grocery store represent transaction processing, a critical branch of BI.
i i i i i i i i i i i i i i
12) Many business users in the 1980s referred to their mainframes as "the black hole," because all the
i i i i i i i i i i i i i i i i
information went into it, but little ever came back and ad hoc real-time querying was virtually impossible.
i i i i i i i i i i i i i i i i i
AccurateAnswer:TRUE i i
Diff: 2 Page Ref: 20
i i i i i
4|P a g e
i i i i i