Test 1 Data CH 1
Computerized support is only used for organizational decisions that are responses to external
pressures, not for taking advantage of opportunities. - ANS-FALSE
During the early days of analytics, data was often obtained from the domain experts using
manual processes to build mathematical or knowledge-based models. - ANS-TRUE
Computer applications have moved from transaction processing and monitoring activities to
problem analysis and solution applications. - ANS-TRUE
Business intelligence (BI) is a specific term that describes architectures and tools only. -
ANS-FALSE
The growth in hardware, software, and network capacities has had little impact on modern BI
innovations. - ANS-FALSE
Managing data warehouses requires special methods, including parallel computing and/or
Hadoop/Spark. - ANS-TRUE
Managing information on operations, customers, internal procedures and employee interactions
is the domain of cognitive science. - ANS-FALSE
Decision support system (DSS) and management information system (MIS) have precise
definitions agreed to by practitioners. - ANS-FALSE
In the 2000s, the DW-driven DSSs began to be called BI systems. - ANS-TRUE
Major commercial business intelligence (BI) products and services were well established in the
early 1970s. - ANS-FALSE
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.
- ANS-FALSE
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. - ANS-TRUE
Successful BI is a tool for the information systems department, but is not exposed to the larger
organization. - ANS-FALSE
, BI represents a bold new paradigm in which the company's business strategy must be aligned
to its business intelligence analysis initiatives. - ANS-FALSE
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. - ANS-TRUE
Demands for instant, on-demand access to dispersed information decrease as firms
successfully integrate BI into their operations. - ANS-FALSE
The use of dashboards and data visualizations is seldom effective in identifying issues in
organizations, as demonstrated by the Silvaris Corporation Case Study. - ANS-FALSE
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. - ANS-TRUE
Due to industry consolidation, the analytics ecosystem consists of only a handful of players
across several functional areas. - ANS-FALSE
Data generation is a precursor, and is not included in the analytics ecosystem. - ANS-FALSE
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 - ANS-D
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 - ANS-B
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 - ANS-C
Which of the following developments is NOT contributing to facilitating growth of decision
support and analytics?
A) collaboration technologies
B) Big Data
Computerized support is only used for organizational decisions that are responses to external
pressures, not for taking advantage of opportunities. - ANS-FALSE
During the early days of analytics, data was often obtained from the domain experts using
manual processes to build mathematical or knowledge-based models. - ANS-TRUE
Computer applications have moved from transaction processing and monitoring activities to
problem analysis and solution applications. - ANS-TRUE
Business intelligence (BI) is a specific term that describes architectures and tools only. -
ANS-FALSE
The growth in hardware, software, and network capacities has had little impact on modern BI
innovations. - ANS-FALSE
Managing data warehouses requires special methods, including parallel computing and/or
Hadoop/Spark. - ANS-TRUE
Managing information on operations, customers, internal procedures and employee interactions
is the domain of cognitive science. - ANS-FALSE
Decision support system (DSS) and management information system (MIS) have precise
definitions agreed to by practitioners. - ANS-FALSE
In the 2000s, the DW-driven DSSs began to be called BI systems. - ANS-TRUE
Major commercial business intelligence (BI) products and services were well established in the
early 1970s. - ANS-FALSE
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.
- ANS-FALSE
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. - ANS-TRUE
Successful BI is a tool for the information systems department, but is not exposed to the larger
organization. - ANS-FALSE
, BI represents a bold new paradigm in which the company's business strategy must be aligned
to its business intelligence analysis initiatives. - ANS-FALSE
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. - ANS-TRUE
Demands for instant, on-demand access to dispersed information decrease as firms
successfully integrate BI into their operations. - ANS-FALSE
The use of dashboards and data visualizations is seldom effective in identifying issues in
organizations, as demonstrated by the Silvaris Corporation Case Study. - ANS-FALSE
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. - ANS-TRUE
Due to industry consolidation, the analytics ecosystem consists of only a handful of players
across several functional areas. - ANS-FALSE
Data generation is a precursor, and is not included in the analytics ecosystem. - ANS-FALSE
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 - ANS-D
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 - ANS-B
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 - ANS-C
Which of the following developments is NOT contributing to facilitating growth of decision
support and analytics?
A) collaboration technologies
B) Big Data
