.png){kind=logo}
1 Copyright © 2024 Pearson Education, Inc.Business Intelligence, Analytics, Data Science, and AI, 5e (Sharda) Chapter 1 An Overview of Business Intelligence, Analytics, and Data Science 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 manual processes to build mathematical or knowledge-based models.
Answer: TRUE
Diff: 2 Page Ref: 26 3) Computer applications have moved from transaction processing and monitoring activities to problem analysis and decision support applications.
Answer: TRUE
Diff: 1 Page Ref: 18 4) Business intelligence is a specific term that describes a variety of information technology and data capturing focused system architectures.
Answer: FALSE
Diff: 2 Page Ref: 16 5) The growth in hardware, software, and network capacities were the core contributors to the proliferation of decision support and analytics systems.
Answer: FALSE
Diff: 2 Page Ref: 18 6) Managing data warehouses requires special methods, including parallel and cloud computing along with Hadoop/Spark.
Answer: TRUE
Diff: 2 Page Ref: 19 7) Managing information on operations, customers, internal procedures, and employee interactions is the domain of cognitive science.
Answer: FALSE
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 Business Intelligence, Analytics, Data Science, and AI 5e Ramesh Sharda (Test Bank, 100% Original Verified, A+ Grade) 1 / 4
2 Copyright © 2024 Pearson Education, Inc.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
Diff: 3 Page Ref: 31
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: 31
13) Data warehouses are intended to work with informational data used for online transaction processing (OLTP) systems.
Answer: TRUE
Diff: 2 Page Ref: 31
14) Successful BI is a tool developed by and developed for the information systems department.
Answer: FALSE
Diff: 2 Page Ref: 31
15) The time between new paradigm shifts in information systems and particularly in analytics has been getting longer.
Answer: FALSE
Diff: 2 Page Ref: 27
16) 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: 32
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
- / 4
3 Copyright © 2024 Pearson Education, Inc.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
Diff: 2 Page Ref: 3
21) The intelligence phase of the decision process involves developing a model that represents the underlying system.
Answer: FALSE
Diff: 2 Page Ref: 20
22) The goal of prescriptive analytics is to use data and machine learning tools to forecast the future values of the variables of interest.
Answer: FALSE
Diff: 2 Page Ref: 36
23) Descriptive analytics is often called reporting analytics with the goal of answering the question of "what happened."
Answer: FALSE
Diff: 1 Page Ref: 42
24) In the design phase of the human decision process, the problem or opportunity is defined based on all available data and information.
Answer: FALSE
Diff: 2 Page Ref: 21
25) Business analytics continuum starts with predictive analytics, continues with descriptive analytics and ends with prescriptive analytics.
Answer: FALSE
Diff: 2 Page Ref: 25
26) In the Opening Vignette on Sports Analytics, what was adjusted to drive one-time ticket sales?
- Player selections
- Stadium location
- Fan tweets
- Ticket prices
Answer: D
Diff: 2 Page Ref: 5
- / 4
4 Copyright © 2024 Pearson Education, Inc.27) In the Opening Vignette on Sports Analytics, what type of modeling was used to predict offensive tactics?
- Heuristics
- Heat maps
- Cascaded decision trees
- Sentiment analysis
Answer: B
Diff: 3 Page Ref: 8-10
28) Computer applications have moved from transaction processing and monitoring to other activities. Which of the following is not one of those activities?
- Problem analysis
- Solution applications
- Data monitoring
- Cloud-based technologies
Answer: C
Diff: 3 Page Ref: 18
29) Which of the following developments is not contributing to facilitating growth of decision support and analytics?
- Collaboration technologies
- Data management
- Knowledge management
- Locally concentrated workforces
Answer: D
Diff: 3 Page Ref: 18-19
30) In what decade did separate information systems within the organizations begin to be integrated?
- 1970s
- 1980s
- 1990s
- 2000s
Answer: B
Diff: 2 Page Ref: 25
31) Relational databases began to be used in which of the following time windows?
- 1960s
- 1970s
- 1980s
- 1990s
Answer: C
Diff: 3 Page Ref: 25-26
- / 4
.png)