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
1
Introduction
14
13: Case Study
15
Glossary
16
Index

No Value for a Column Name

Another circumstance that needs to be accounted for is what happens when there is no value under a column name. Such an occurrence is fairly common.

There are at least two ways to handle this circumstance:

  1. 1. If no value is present, define a null value (such as “NULL”).
  2. 2. Simply omit the column name and value from further processing. In this case there are no mentions anywhere of the column name.

Neither of these options is preferable over the other. The selection of one or the other option depends entirely on the nature of the data. In some circumstances, one option is preferable; in other circumstances the other option is preferable.