Principles of Information Systems (MindTap Course List)
13th Edition
ISBN: 9781305971776
Author: Ralph Stair, George Reynolds
Publisher: Cengage Learning
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Chapter 9, Problem 1CTQ2
Explanation of Solution
Opinion on using the different analytics tools:
“No”, it is not surprising that the small company like Sunny Delight use different analytics. Every change of ownership is likely to bring in new data scientists or ideas on which tools are used...
Explanation of Solution
Facts involved in changing the ownership:
- The infrastructure of Sunny Delight was complex and when the company faced changing the ownership multiple times, it resulted to serious difficulties and drawbacks.
- Employees started working with different BI applications, and they tend to produce data which were not in the agreement...
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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?
To what degree do you believe it is surprising that a relatively small firm like Sunny Delight has amassed such a diverse set of analytics tools? How can the fact that Sunny Delight's ownership has changed many times have an effect on the amount and variety of business intelligence (BI) solutions used?
Is 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?
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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- Is it surprising that a small company such as Sunny Delight could end up with so many different analytics tools? How did Sunny Delight end up with so many analytics tools? What are the trade-offs of moving to an enterprise-level analytics solution for individual employees who may have grown accustomed to working with their own customized solutions for generating data? Gartner reported that most businesses will have access to some sort of self-service BI tool within the next few years. However Gartner estimated that less than 10% will have sufficient data governance practices in place to prevent data inconsistencies across the organization. Why do you think so many companies invest in BI solutions while ignoring governance programs to ensure data consistency?arrow_forwardYou 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?arrow_forward. Is it odd to you that a firm as tiny as Sunny Delight could wind up with so many distinct analytics tools? How has the fact that Sunny Delight has changed ownership several times influenced the amount and type of BI tools used?arrow_forward
- What shocked you about Sunny Delight's purchase of so many unique analytics tools is the company's small size. How can the fact that Sunny Delight's ownership has changed many times have an effect on the amount and variety of business intelligence (BI) solutions used?- What are some of the trade-offs involved with a migration to an enterprise-level analytics solution for individual end users who have become used to dealing with their own customized solutions for data generation?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?arrow_forwardDo you think it's odd that a tiny firm like Sunny Delight could have so many different analytics tools? How has the fact that Sunny Delight's ownership has changed several times influenced the quantity and type of BI tools used? What are some of the trade-offs for individual end users who have gotten accustomed to dealing with their own bespoke data generation systems while moving to an enterprise-level analytics solution? According to a recent Gartner report, most business users will have access to some sort of self-service BI tool within the next few years; however, Gartner estimates that only about 10% of companies will have adequate data governance practises in place to prevent data inconsistencies across the organisation. Why do you believe so many businesses continue to invest in new analytics technologies without putting in place data governance programmes?arrow_forward
- - 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?arrow_forwardDoes 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_forwardTo what extent do you think it's remarkable that a very tiny company like Sunny Delight could end up with so many distinct analytics tools? How might the fact that Sunny Delight has changed ownership a number of times have influenced the number and diversity of business intelligence (BI) tools that are employed?arrow_forward
- OLAP's function in descriptive analytics must be well stated.arrow_forwardOne day, the management decides that they want to increase the retention of their customer. Based on this case, your tasks are: 1. Choose the suitable type of analytics (descriptive, prescriptive, predictive), the machine learning models that you will use based on the analytics you choose, and your reason for the choice.arrow_forward- Do you find it strange that a tiny business like 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 trade-offs of moving to an enterprise-level analytics solution for individual end users who may have become used to dealing with their own specialized data-generation solutions?arrow_forward
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