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Turning Spreadsheets into Corporate Data

You're reading from   Turning Spreadsheets into Corporate Data Transform your spreadsheets into credible and reliable information

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781634622288
Length 140 pages
Edition 1st Edition
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Author (1):
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Bill Inmon Bill Inmon
Author Profile Icon Bill Inmon
Bill Inmon
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Table of Contents (16) Chapters Close

1. Introduction FREE CHAPTER
2. 1: Brief History of Spreadsheets 3. 2: Spreadsheet Paradox 4. 3: Spreadsheet Varieties 5. 4: The PDF Spreadsheet 6. 5: The Basics of Spreadsheet Formatting 7. 6: Spreadsheet Disambiguation 8. 7: The Intermediate Database 9. 8: The ssdef Database 10. 9: The Corporate Database 11. 10: The Mnemonic Dictionary 12. 11: Political Considerations Within the Organization 13. 12: Data Modeling and the Spreadsheet Environment 14. 13: Case Study
15. Glossary
16. Index

Aligning Data from Different Spreadsheets

The modeling of spreadsheet data gives rise to another important question: what if two (or more) spreadsheets have a difference in the significance of data that should be closely aligned?

Furthermore what if there must be a resolution of the numbers? In some cases resolution is not important. Differences can be overlooked. Or differences can simply be ignored. As an example of the case when a number can be ignored, suppose the results of a football game were being discussed. The spreadsheet says that the score was 35-14 in favor of Dallas. In fact the score might have been 35-21. As long as the winner is recorded correctly, the exact score is not of a great concern (except perhaps to a bookmaker).

But in other cases, structural differences between data cannot be ignored. In such a case, how can a resolution be made?

There are lots of possibilities when it comes to resolving data differences. The easiest option is to find the data that...

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