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Turning Spreadsheets into Corporate Data

Turning Spreadsheets into Corporate Data

By : Bill Inmon
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Turning Spreadsheets into Corporate Data

Turning Spreadsheets into Corporate Data

By: Bill Inmon

Overview of this book

Spreadsheets are a popular way to store and communicate business data, but, although they are easy to create and update, they are not reliable enough to be used for making important corporate decisions. With this book, you can gain insight into how to maintain spreadsheets, how to format them, and then convert them into a database of reliable and useful information. Turning Spreadsheets into Corporate Data starts with a quick history of spreadsheet usage. You’ll learn the basics of formatting spreadsheets, including how to handle special characters and column headings, and how to convert the spreadsheet first into an intermediate database and then into corporate data. You will also learn how to utilize the mnemonic dictionary that is created along with the intermediate database. The later chapters discuss the immutability of data and the importance of organizational and political considerations during the data transformation. By the end of this book, you’ll have the skills and knowledge needed to convert your spreadsheets into reliable corporate data.
Table of Contents (16 chapters)
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1
Introduction
14
13: Case Study
15
Glossary
16
Index

In Summary

The data model is an abstraction of the data found in a system. The standard data model has three levels: the ERD level, the DIS level, and the physical level.

The model for spreadsheet data is the same as the model for standard corporate data, with one significant difference. When spreadsheet data and the data model differ, changes are made to the data model. In the case of corporate data, when the data model differs from corporate data, the corporate data is changed.

What if data from two or more spreadsheets need to be aligned? A simple method of resolution is to choose different data. An alternative is to algorithmically resolve the data, if possible. If no other solution works, disparate values can always be resolved through the creation of an index.

However the resolution is achieved, the resolution itself needs to become a part of the data model.

Changing data on spreadsheets is an important subject. Changes to spreadsheet data that involve light editing...

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