EBK BUSINESS DRIVEN TECHNOLOGY
7th Edition
ISBN: 8220103675451
Author: BALTZAN
Publisher: YUZU
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Chapter 6, Problem 2MBD
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Use of Access over Excel:
Limitations of Excel:
Some of the limitations of excel are mentioned below:
- Excel is limited in the amount of data it could store and analyze.
- Excel has inability to handle simultaneous access by two or more people.
- Excel has inability to deal with relational data tables.
- In Excel, memory and CPU usage can be cumbersome, especially in formulas that recalculate a large number of cells.
- Excel is not reusable and is not designed to handle its semi-structured and unstructured counterparts.
Benefit of Access:
Some of the benefits of access are:
- Access is quick and easy to create
database systems as it includes various wizards to speed up the process of creating a database application, and a vast array of readily available functionality. - Microsoft Access produces very user-friendly applications through its comprehensive
programming language called VBA...
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Check out a sample textbook solutionStudents have asked these similar questions
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
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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?
Do 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?
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