Fundamentals of Information Systems
9th Edition
ISBN: 9781337097536
Author: Ralph Stair, George Reynolds
Publisher: Cengage Learning
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Chapter 6, Problem 5SAT
Program Plan Intro
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What kinds of data are most useful and how is it gathered? How do managers protect customer, client, and even employees’ personally identifiable information in order for those who may not have permissions to view it? How is the data secured in general? What are some of the ways in which analytics assist information systems management as well as the organization at large.
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?
Is 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?
Chapter 6 Solutions
Fundamentals of Information Systems
Ch. 6 - Prob. 1LOCh. 6 - Prob. 2LOCh. 6 - Prob. 3LOCh. 6 - Prob. 4LOCh. 6 - Prob. 5LOCh. 6 - Prob. 6LOCh. 6 - Prob. 1.1RQCh. 6 - Prob. 1.2RQCh. 6 - Prob. 1.1CTQCh. 6 - Prob. 1.2CTQ
Ch. 6 - Prob. 2.1RQCh. 6 - Prob. 2.2RQCh. 6 - Prob. 2.1CTQCh. 6 - Prob. 2.2CTQCh. 6 - Prob. 1SATCh. 6 - Prob. 2SATCh. 6 - Prob. 3SATCh. 6 - Prob. 4SATCh. 6 - Prob. 5SATCh. 6 - Prob. 6SATCh. 6 - Prob. 7SATCh. 6 - Prob. 8SATCh. 6 - Prob. 9SATCh. 6 - Prob. 1RQCh. 6 - Prob. 2RQCh. 6 - Prob. 3RQCh. 6 - Prob. 4RQCh. 6 - Prob. 5RQCh. 6 - Prob. 6RQCh. 6 - Prob. 7RQCh. 6 - Prob. 8RQCh. 6 - Prob. 9RQCh. 6 - Prob. 10RQCh. 6 - Prob. 11RQCh. 6 - Prob. 12RQCh. 6 - Prob. 1DQCh. 6 - Prob. 2DQCh. 6 - Prob. 3DQCh. 6 - Prob. 4DQCh. 6 - Prob. 5DQCh. 6 - Prob. 6DQCh. 6 - Prob. 7DQCh. 6 - Prob. 8DQCh. 6 - Prob. 9DQCh. 6 - Prob. 1PSECh. 6 - Prob. 3PSECh. 6 - Prob. 1WECh. 6 - Prob. 2WECh. 6 - Prob. 3WECh. 6 - Prob. 1CECh. 6 - Prob. 2CECh. 6 - Prob. 3CECh. 6 - Prob. 1.1CSCh. 6 - Prob. 1.2CSCh. 6 - Prob. 1.3CSCh. 6 - Prob. 2.1CSCh. 6 - Prob. 2.2CSCh. 6 - Prob. 2.3CS
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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
- Does it surprise you that a small business like Sunny Delight could end up with so many distinct analytics tools? Changes in Sunny Delight's ownership may have had an impact on the quantity and variety of business intelligence technologies employed.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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