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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

Spreadsheet Descriptors

A much better way to understand the meaning of a cell is to look and see what descriptors are to be found on the spreadsheet itself. As a rule, a cell often has a column heading and a row identifier associated with the cell, as shown in Figure 2.7.

There are, however, some basic problems with identifying a cell by its column name and its row identifier. The first problem is that column name and row identification are optional descriptors. The analyst creating the spreadsheet may not have created one or the other (or both!) of these forms of metadata.

Figure007.jpg

But even if the analyst has created both the column name and the row identifier, aligning the two can be a challenge. In a spreadsheet it is easy to access an entire column, thus making the association between the column name and the values in the column obvious. Or it is easy to simply access row of data, thereby making the association between the row identifier and the value of data in the cell obvious...

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