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?

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?

Principles of Information Systems (MindTap Course List)

13th Edition

ISBN:9781305971776

Author:Ralph Stair, George Reynolds

Publisher:Ralph Stair, George Reynolds

Chapter9: Business Intelligence And Analytics

Section: Chapter Questions

Problem 12RQ

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. 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?
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?
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?
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 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?
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?
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 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?
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?
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.
- 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?
Consider the following: Do you believe that Big Data and Predictive Analytics would have been effective in marketing 10-15 years ago? And how did this come to be the case?