Exam (elaborations)

Test Bank Business Intelligence, Analytics and Data Science 4th edition by Ramesh Sharda

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Certified Specialist Business Intelligence

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Certified Specialist Business Intelligence

Test Bank for Business Intelligence, Analytics and Data Science 4th edition by Ramesh Sharda, Dursun Delen, Efraim Turban. test bank Business Intelligence, Analytics and Data Science 4e sharda.

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Type Exam (elaborations)
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business intelligenc
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analytics and data science
test bank business intelligence
business intelligence analytics and data science

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Business Intelligence, 4e (Sharda/Delen/Turban)
Chapter 1 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.
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

8) Decision support system (DSS) and management information system (MIS) have precise
definitions agreed to by practitioners.
Answer: FALSE
Diff: 2 Page Ref: 13

9) In the 2000s, the DW-driven DSSs began to be called BI systems.
Answer: TRUE
Diff: 1 Page Ref: 14

,10) Major commercial business intelligence (BI) products and services were well established in
the early 1970s.
Answer: FALSE
Diff: 2 Page Ref: 15

11) Information systems that support such transactions as ATM withdrawals, bank deposits, and
cash register scans at the grocery store represent transaction processing, a critical branch of BI.
Answer: FALSE
Diff: 2 Page Ref: 19

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: 20

13) Successful BI is a tool for the information systems department, but is not exposed to the
larger organization.
Answer: FALSE
Diff: 2 Page Ref: 20

14) BI represents a bold new paradigm in which the company's business strategy must be aligned
to its business intelligence analysis initiatives.
Answer: FALSE
Diff: 2 Page Ref: 20-21

15) 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: 21

16) Demands for instant, on-demand access to dispersed information decrease as firms
successfully integrate BI into their operations.
Answer: FALSE
Diff: 3 Page Ref: 21

17) The use of dashboards and data visualizations is seldom effective in identifying issues in
organizations, as demonstrated by the Silvaris Corporation Case Study.
Answer: FALSE
Diff: 2 Page Ref: 24

18) The use of statistics in baseball by the Oakland Athletics, as described in the Moneyball case
study, is an example of the effectiveness of prescriptive analytics.
Answer: TRUE
Diff: 2 Page Ref: 5

,19) Due to industry consolidation, the analytics ecosystem consists of only a handful of players
across several functional areas.
Answer: FALSE
Diff: 2 Page Ref: 38-39

20) Data generation is a precursor, and is not included in the analytics ecosystem.
Answer: FALSE
Diff: 1 Page Ref: 39

21) In the Opening Vignette on Sports Analytics, what was adjusted to drive one-time ticket
sales?
A) player selections
B) stadium location
C) fan tweets
D) ticket prices
Answer: D
Diff: 2 Page Ref: 6

22) In the Opening Vignette on Sports Analytics, what type of modeling was used to predict
offensive tactics?
A) heuristics
B) heat maps
C) cascaded decision trees
D) sentiment analysis
Answer: B
Diff: 3 Page Ref: 7

23) Business applications have moved from transaction processing and monitoring to other
activities. Which of the following is NOT one of those activities?
A) problem analysis
B) solution applications
C) data monitoring
D) mobile access
Answer: C
Diff: 2 Page Ref: 11

24) Which of the following developments is NOT contributing to facilitating growth of decision
support and analytics?
A) collaboration technologies
B) Big Data
C) knowledge management systems
D) locally concentrated workforces
Answer: D
Diff: 3 Page Ref: 11-12

, 25) In what decade did disjointed information systems begin to be integrated?
A) 1970s
B) 1980s
C) 1990s
D) 2000s
Answer: B
Diff: 2 Page Ref: 14

26) Relational databases began to be used in the
A) 1960s.
B) 1970s.
C) 1980s.
D) 1990s.
Answer: C
Diff: 3 Page Ref: 13

27) The need for more versatile reporting than what was available in 1980s era ERP systems led
to the development of what type of system?
A) management information systems
B) relational databases
C) executive information systems
D) data warehouses
Answer: C
Diff: 3 Page Ref: 14

28) Which of the following is an umbrella term that combines architectures, tools, databases,
analytical tools, applications, and methodologies?
A) MIS
B) DSS
C) ERP
D) BI
Answer: D
Diff: 1 Page Ref: 16

29) The competitive imperatives for BI include all of the following EXCEPT
A) right information
B) right user
C) right time
D) right place
Answer: B
Diff: 2 Page Ref: 16

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Exam (elaborations)

Test Bank Business Intelligence, Analytics and Data Science 4th edition by Ramesh Sharda

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