Sunny Delight's small size startled you when it bought so many analytics tools. How has Sunny Delight's ownership history affected the amount and kind of business intelligence (BI) products used? - What are the trade-offs of migrating to an enterprise-level analytics solution for end users who ar

Sunny Delight's small size startled you when it bought so many analytics tools. How has Sunny Delight's ownership history affected the amount and kind of business intelligence (BI) products used? - What are the trade-offs of migrating to an enterprise-level analytics solution for end users who ar

MIS

9th Edition

ISBN:9781337681919

Author:BIDGOLI

Publisher:BIDGOLI

Chapter3: Database Systems, Data Warehouses, And Data Marts

Section: Chapter Questions

Problem 3P

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Business Intelligence Analytics Tools and Techniques

Business intelligence tools are the tools used for analyzing, retrieving, sorting, and filtering information from different business intelligence systems. They are used for creating reports, visualizing large volumes of data, and decision-making.

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Sunny Delight's small size startled you when it bought so many analytics tools. How has Sunny Delight's ownership history affected the amount and kind of business intelligence (BI) products used?

- What are the trade-offs of migrating to an enterprise-level analytics solution for end users who are used to using their own bespoke data-generation solutions?

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Sunny Delight's small size startled you when it bought so many analytics tools. How has Sunny Delight's ownership history affected the amount and kind of business intelligence (BI) products used?- What are the trade-offs of migrating to an enterprise-level analytics solution for end users who are used to using their own customized data-generation solutions?
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?
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?
- 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?
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?
- 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?
Discuss some of the trade-offs and challenges of a move to an enterprise level analytics solution for companies and their individual end users who might have grown accustomed to working with their own customized solutions for generating data.
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.
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?
discuss some of the trade off and challenges of a move to an enterprise level analytics solution for companies and individual end users who might have grown accustomed to working with their own customised solution for generating data
What are some of the drawbacks of moving to an enterprise-level analytics solution for end users who are used to dealing with their own specialized data generation solutions?