Test Bank for Business Intelligence, Analytics, Data Science, and AI, 5th edition by Sharda
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Test Bank for Business Intelligence, Analytics, Data Science, and AI, 5th edition 5e by Ramesh Sharda, Dursun Delen, Efraim Turban. Full Chapters test bank are included - Chapter 1 - 11 An Overview of Business Intelligence, Analytics, Data Science, and AI Artificial Intelligence: Concepts, Drivers,...
Business Intelligence, Analytics, Data Science, and AI, 5e (Sharda) ALL CHAPTERS
Chapter 1 An Overview of Business Intelligence, Analytics, and Data Science
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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: 2
2) During the early days of analytics, data was often obtained from the domain experts using
M
manual processes to build mathematical or knowledge-based models.
Answer: TRUE
E
Diff: 2 Page Ref: 26
D
3) Computer applications have moved from transaction processing and monitoring activities to
problem analysis and decision support applications.
Answer: TRUE
C
Diff: 1 Page Ref: 18
O
4) Business intelligence is a specific term that describes a variety of information technology and
data capturing focused system architectures. N
Answer: FALSE
Diff: 2 Page Ref: 16
N
5) The growth in hardware, software, and network capacities were the core contributors to the
proliferation of decision support and analytics systems.
O
Answer: FALSE
Diff: 2 Page Ref: 18
S I
6) Managing data warehouses requires special methods, including parallel and cloud computing
along with Hadoop/Spark.
S
Answer: TRUE
Diff: 2 Page Ref: 19
E
7) Managing information on operations, customers, internal procedures, and employee
U
interactions is the domain of cognitive science.
Answer: FALSE
R
Diff: 3 Page Ref: 19
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: 25
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: 35
1
,10) Major commercial business intelligence (BI) products and services were well established in
the early 1970s.
Answer: FALSE
Diff: 2 Page Ref: 25
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
M
Diff: 3 Page Ref: 31
E
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
D
virtually impossible.
Answer: TRUE
Diff: 2 Page Ref: 31
C
13) Data warehouses are intended to work with informational data used for online transaction
O
processing (OLTP) systems.
Answer: TRUE
Diff: 2 Page Ref: 31
N
N
14) Successful BI is a tool developed by and developed for the information systems department.
Answer: FALSE
Diff: 2 Page Ref: 31
O
15) The time between new paradigm shifts in information systems and particularly in analytics
I
has been getting longer.
S
Answer: FALSE
Diff: 2 Page Ref: 27
S
16) Traditional BI systems use a large volume of static data that has been extracted, cleansed,
E
and loaded into a data warehouse to produce reports and analyses.
Answer: TRUE
U
Diff: 2 Page Ref: 32
R
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: 21
18) Simon's decision process involves three major phases: intelligence, design, and choice.
Answer: TRUE
Diff: 1 Page Ref: 20
2
,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: 36
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
M
Diff: 2 Page Ref: 3
E
21) The intelligence phase of the decision process involves developing a model that represents
the underlying system.
D
Answer: FALSE
Diff: 2 Page Ref: 20
C
22) The goal of prescriptive analytics is to use data and machine learning tools to forecast the
future values of the variables of interest.
O
Answer: FALSE
Diff: 2 Page Ref: 36
N
23) Descriptive analytics is often called reporting analytics with the goal of answering the
N
question of "what happened."
Answer: FALSE
Diff: 1 Page Ref: 42
O
24) In the design phase of the human decision process, the problem or opportunity is defined
I
based on all available data and information.
S
Answer: FALSE
Diff: 2 Page Ref: 21
S
25) Business analytics continuum starts with predictive analytics, continues with descriptive
E
analytics and ends with prescriptive analytics.
Answer: FALSE
U
Diff: 2 Page Ref: 25
R
26) 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: 5
3
, 27) 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: 8-10
M
28) Computer applications have moved from transaction processing and monitoring to other
E
activities. Which of the following is not one of those activities?
A) Problem analysis
D
B) Solution applications
C) Data monitoring
D) Cloud-based technologies
C
Answer: C
Diff: 3 Page Ref: 18
O
29) Which of the following developments is not contributing to facilitating growth of decision
support and analytics?
A) Collaboration technologies
N
N
B) Data management
C) Knowledge management
D) Locally concentrated workforces
O
Answer: D
Diff: 3 Page Ref: 18-19
S I
30) In what decade did separate information systems within the organizations begin to be
integrated?
S
A) 1970s
B) 1980s
E
C) 1990s
D) 2000s
U
Answer: B
Diff: 2 Page Ref: 25
R
31) Relational databases began to be used in which of the following time windows?
A) 1960s
B) 1970s
C) 1980s
D) 1990s
Answer: C
Diff: 3 Page Ref: 25-26
4
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