Principles of Information Systems (MindTap Course List)
13th Edition
ISBN: 9781305971776
Author: Ralph Stair, George Reynolds
Publisher: Cengage Learning
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Expert Solution & Answer
Chapter 9, Problem 5SAT
Program Description Answer
BI(Business Intelligence) analytics tool which includes the interactive examination of the high level data in detail, in order to gain insight is termed as Drill-down analysis.
Hence, the correct answer is option “B”.
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You were shocked to see that Sunny Delight is a pretty small company given the number of unique analytics tools it has acquired. What potential effects may the many ownership changes at Sunny Delight have had on the kind and amount of business intelligence (BI) solutions used?- What are some of the trade-offs involved with a switch to an enterprise-level analytics solution for individual end users who are used to dealing with their own customized solutions for producing data?
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Chapter 9 Solutions
Principles of Information Systems (MindTap Course List)
Ch. 9.1 - Prob. 1RQCh. 9.1 - Prob. 2RQCh. 9.1 - Prob. 1CTQCh. 9.1 - Prob. 2CTQCh. 9.2 - Prob. 1RQCh. 9.2 - Prob. 2RQCh. 9 - Prob. 1SATCh. 9 - Prob. 2SATCh. 9 - Prob. 3SATCh. 9 - Prob. 4SAT
Ch. 9 - Prob. 5SATCh. 9 - A(n) _______________________ is a measure that...Ch. 9 - Prob. 7SATCh. 9 - Prob. 8SATCh. 9 - Prob. 9SATCh. 9 - Prob. 1RQCh. 9 - Prob. 2RQCh. 9 - Prob. 3RQCh. 9 - Prob. 4RQCh. 9 - Prob. 5RQCh. 9 - Prob. 6RQCh. 9 - Prob. 7RQCh. 9 - Prob. 8RQCh. 9 - Prob. 9RQCh. 9 - Prob. 10RQCh. 9 - Prob. 11RQCh. 9 - Prob. 12RQCh. 9 - Prob. 1DQCh. 9 - Prob. 2DQCh. 9 - Prob. 3DQCh. 9 - Prob. 4DQCh. 9 - Prob. 5DQCh. 9 - Prob. 7DQCh. 9 - Prob. 8DQCh. 9 - Prob. 9DQCh. 9 - Prob. 1PSECh. 9 - Prob. 3PSECh. 9 - Prob. 1TACh. 9 - Prob. 2TACh. 9 - Prob. 3WECh. 9 - Prob. 1CECh. 9 - Prob. 2CECh. 9 - Prob. 3CECh. 9 - Prob. 1CTQ1Ch. 9 - Prob. 2CTQ1Ch. 9 - Prob. 3CTQ1Ch. 9 - Prob. 1CTQ2Ch. 9 - Prob. 2CTQ2Ch. 9 - Prob. 3CTQ2
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Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.Similar questions
- I am conducting a reasearch project about the following reaserch question: "Can the use of big data and predictive analytics help real estate investors and developers identify promising investment opportunities and mitigate risks better than standard data?" I will focus my research on the specific applications predictive analytics such as property valuation and risk management. The potential variables I am considering on using to measure this are things like, Property condition: The condition of a property can affect its value and level of risk. Variables such as age of the property, maintenance and repair history, and structural integrity can be used to assess the condition of a property. Market trends: Market trends such as supply and demand, vacancy rates, and rent trends can be used to assess the value and level of risk of a property. Financing terms: The financing terms of a property, including interest rates and loan terms, can affect its value and level of risk. Economic…arrow_forwardIs it surprising to you that a relatively small company like Sunny Delight could end up with so many different analytics tools? How might the fact that Sunny Delight has changed ownership multiple times have impacted the number and variety of BI tools being used? What are some of the trade-offs of a move to an enterprise-level analytics solution for individual end users who might have grown accustomed to working with their own customized solutions for generating data? According to a recent report by Gartner, most business users will have access to some sort of self-service BI tool within the next few years; however, Gartner estimates that less than 10 percent of companies will have sufficient data governance practices in place to prevent data inconsistencies across the organization. Why do you think so many companies continue to invest in new analytics tools without implementing governance programs that ensure data consistency?arrow_forwardIs it strange to you that a business as tiny as Sunny Delight could wind up with so many distinct analytics tools? How has the fact that Sunny Delight has changed ownership many times influenced the quantity and diversity of BI tools used? What are some of the drawbacks of migrating to an enterprise-level analytics system for individual end users who may have become used to dealing with their own bespoke data generation solutions? According to a recent Gartner report, most business users will have access to some type of self-service BI tool within the next few years; however, Gartner estimates that less than 10% of companies will have adequate data governance practices in place to prevent data inconsistencies across the organization. Why do you believe that so many businesses continue to invest in new analytics technologies while failing to establish governance processes that guarantee data consistency?arrow_forward
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