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

From Intermediate Data to Corporate Data

There are several functions involved in processing the intermediate database into the corporate database. Certainly the main objective is to move intermediate data into the corporate database. But another function is the removal of some intermediate data. Not all data stripped off of a spreadsheet is useful in the corporate world. The spreadsheet may contain irrelevant or extraneous data that only clutters up the corporate data. Unwanted intermediate data is filtered out now, before it gets to the corporate database.

Another important function is establishing an alternate name for some of the data flowing into the corporate database. Establishing an alternate name for some corporate data allows for the consolidation of names coming from disparate spreadsheets, and for conformance to the names used in other corporate data. Examining existing corporate data is a good way to determine what the alternate name ought to look like.