Exam 2: Foundations and Technologies for Decision Making
Exam 1: An Overview of Business Intelligence, Analytics, and Decision Support70 Questions
Exam 2: Foundations and Technologies for Decision Making70 Questions
Exam 3: Data Warehousing70 Questions
Exam 4: Business Reporting, Visual Analytics, and Business Performance Management70 Questions
Exam 5: Data Mining70 Questions
Exam 6: Techniques for Predictive Modeling70 Questions
Exam 7: Text Analytics, Text Mining, and Sentiment Analysis70 Questions
Exam 8: Web Analytics, Web Mining, and Social Analytics70 Questions
Exam 9: Model-Based Decision Making: Optimization and Multi-Criteria Systems70 Questions
Exam 10: Modeling and Analysis: Heuristic Search Methods and Simulation70 Questions
Exam 11: Automated Decision Systems and Expert Systems70 Questions
Exam 12: Knowledge Management and Collaborative Systems70 Questions
Exam 13: Big Data and Analytics70 Questions
Exam 14: Business Analytics: Emerging Trends and Future Impacts70 Questions
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Uncovering the existence of a problem can be achieved through monitoring and analyzing of the organization's productivity level. The derived measurements of productivity are based on real data.
(True/False)
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Name and give a brief description of each of the components of a DSS application.
(Essay)
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Geographical Information Systems (GIS) can be readily integrated with other, more traditional ________ components and tools for improved decision making.
(Short Answer)
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A normative model examines all the possible alternatives in order to prove that the one selected is the best.
(True/False)
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A(n) ________ map can help a decision maker sketch out the important qualitative factors and their causal relationships in a messy decision-making situation.
(Short Answer)
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The user communicates with and commands the DSS through the user interface subsystem. Researchers assert that some of the unique contributions of DSS are derived from
(Multiple Choice)
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________ in decision making involves scanning the environment, either intermittently or continuously.
(Short Answer)
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Only after the failed implementation of a decision can the decision maker return a prior stage of decision making.
(True/False)
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A major characteristic of a DSS and many BI tools (notably those of business analytics) is the inclusion of at least one model. How does the text describe a model?
(Essay)
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The model management subsystem provides the system's analytical capabilities and appropriate software management. Which of the following is NOT an element of the model management subsystem?
(Multiple Choice)
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The elevators case study shows that correct problem ________ is important in decision-making.
(Short Answer)
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Artificial intelligence-based DSS fall into this category of document-driven DSS.
(True/False)
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All of the following statements about decision style are true EXCEPT
(Multiple Choice)
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What class of DSS incorporates simulation and optimization?
(Multiple Choice)
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Web-based collaboration tools (e.g., GSS) can assist in multiple stages of decision making, not just the intelligence phase.
(True/False)
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DSS applications have been classified in several different ways. ________-driven DSS rely on knowledge coding, analysis, search, and retrieval for decision support.
(Short Answer)
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When HP approaches problem-solving, the first step in solving business problems is building a model that enables decision makers to develop a good understanding of the problem.
(True/False)
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A(n) ________ is a typically mathematically based model that describes things as they are or as they are believed to be.
(Short Answer)
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The model management subsystem includes financial, statistical, management science, and other quantitative models that provide the system's analytical capabilities plus appropriate software management. This software is often called a(n) ________.
(Short Answer)
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Since the business environment involves considerable uncertainty, a manager cannot use modeling to estimate the risks resulting from specific actions.
(True/False)
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