Exam 9: Business Intelligence Systems
Exam 1: The Importance of MIS120 Questions
Exam 2: Collaboration Information Systems120 Questions
Exam 3: Strategy and Information Systems119 Questions
Exam 4: Hardware and Software120 Questions
Exam 5: Database Processing120 Questions
Exam 6: Data Communication and the Cloud130 Questions
Exam 7: Processes, Organizations, and Information Systems120 Questions
Exam 8: Social Media Information Systems121 Questions
Exam 9: Business Intelligence Systems120 Questions
Exam 10: Development Processes120 Questions
Exam 11: Information Systems Management103 Questions
Exam 12: Information Security Management123 Questions
Exam 13: The International Dimension31 Questions
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A data mart is a data collection that addresses a particular functional area of the business.
(True/False)
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It is possible to capture the customers' clicking behavior using clickstream data.
(True/False)
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An OLAP report has measures and dimensions.Which of the following is an example of a dimension?
(Multiple Choice)
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A sales team should attempt to up-sell more expensive products to a customer who has an RFM score of ________.
(Multiple Choice)
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Which of the following observations about RFM and OLAP reports is true?
(Multiple Choice)
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A value of 999-999-9999 for a U.S.phone number is an example of dirty data for BI purpose.
(True/False)
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With ________, statistical techniques can identify groups of entities that have similar characteristics.
(Multiple Choice)
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All management data needed by any of the BI servers is stored in metadata.
(True/False)
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In market-basket terminology, a conditional probability estimate is called lift.
(True/False)
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A sales report that is current as of the time the user accessed it on a Web server is a static report.
(True/False)
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________ is a term that refers to the level of detail represented by the data.
(Multiple Choice)
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With ________, data miners develop a model prior to the analysis and apply statistical techniques to data to estimate parameters of the model.
(Multiple Choice)
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Which of the following is an example of a supervised data-mining technique?
(Multiple Choice)
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