Book Image

Turning Spreadsheets into Corporate Data

By : Bill Inmon
Book Image

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)
Free Chapter
13: Case Study

The Importance of Alternate Names

This “common thread” of consistent information is very important across the political landscape. But as data enters the realm of IT and corporate data, there is another element that becomes of paramount importance: the alternate name. The reason why the alternate name takes on special meaning in the IT environment is twofold:

  1. 1. The alternate name can be controlled, whereas the names of other data cannot be.
  2. 2. Alternate names can be used to link spreadsheet data to existing corporate data.

In many ways, the alternate name becomes like the Rosetta stone of data elements. It is the key to using common terminology to link spreadsheet data and corporate data.

By linking spreadsheet names to existing corporate data names, the job of the analyst is made much simpler.