Write a 3-4 page paper on anything related to data, data warehousing, business intelligence, data science, etc. Pick one topic and write 3 pages on it. Topics could be something like how data science...

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Write a 3-4 page paper on anything related to data, data warehousing, business intelligence, data science, etc. Pick one topic and write 3 pages on it. Topics could be something like how data science is changing the finance industry. Why BI tools are better than excel. Something like this.
Answered 1 days AfterSep 28, 2021

Answer To: Write a 3-4 page paper on anything related to data, data warehousing, business intelligence, data...

Harshita answered on Sep 30 2021
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Title: Managing Information Technology
Excel versus Business Intelligence (BI)
Contents
Introduction    3
Why the Finance World Love
s Excel?    3
Why Business Intelligence is Replacing Excel?    4
Why BI Solutions are Better than Excel?    4
Conclusion    6
Works Cited    7
Introduction
Microsoft Excel is a force to be counted on, with over a billion users worldwide. This unique spreadsheet tool technology is prevalent in the financial world. CFOs have made Excel their go-to decision for data analysis and perception for more than two decades. Excel, despite its many advantages, does not always provide the exact arrangement we require.
The more a company grows, the more information it generates (Skyrius et al.). Dealing with the growing number of spreadsheets becomes difficult, causing information inquiry and detailing to become complicated. Fortunately, new inventions such as Business intelligence (BI) have emerged, providing firms with more outstanding capabilities. This is how you should approach Excel and BI.
Why the Finance World Loves Excel?
Even though technology has driven the rise of essential assets with more features than Excel, many financial specialists continue to use Excel. Some CFOs are hesitant to ditch traditional spreadsheets for a variety of reasons (Valdez et al.).
Ease of Use
Finance professionals who have worked with Excel for a long time have a thorough understanding of the program. It is difficult to ask them to drop it and embrace someone else.
Cost-Effective
The expense of using Excel for data analysis is cited by most of its devotees as a rationale for doing so. When compared to Excel, new-age testing platforms are expensive.
Better Ad-hoc Analysis
Few tools can surpass Excel's versatility when it comes to...
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