An informative resource for any data management staff, IT management staff, and CIOs of companies with data assets.
Table of Contents
Data Quality—The Accuracy Dimension
Foreword
Preface
Part I - Understanding Data Accuracy
Chapter 1
-
The Data Quality Problem
Chapter 2
-
Definition of Accurate Data
Chapter 3
-
Sources of Inaccurate Data
Part II - Implementing a Data Quality Assurance Program
Chapter 4
-
Data Quality Assurance
Chapter 5
-
Data Quality Issues Management
Chapter 6
-
The Business Case for Accurate Data
Part III - Data Profiling Technology
Chapter 7
-
Data Profiling Overview
Chapter 8
-
Column Property Analysis
Chapter 9
-
Structure Analysis
Chapter 10
-
Simple Data Rule Analysis
Chapter 11
-
Complex Data Rule Analysis
Chapter 12
-
Value Rule Analysis
Chapter 13
-
Summary
Appendix A
-
Examples of Column Properties, Data Structure, Data Rules, and Value Rules
Appendix B
-
Content of a Data Profiling Repository
References
Index
List of Figures
Back Cover
Data Quality: The Accuracy Dimension
is about assessing the quality of corporate data and improving its accuracy using the data profiling method. Corporate data is increasingly important as companies continue to find new ways to use it. Likewise, improving the accuracy of data in new information systems is fast becoming a major goal as companies realize how much it affects their bottom line. Data profiling is a new technology that supports and enhances the accuracy of databases throughout major IT
shops
. Jack Olson explains data profiling and shows how it fits into the larger picture of data quality.
FEATURES
Provides an accessible, enjoyable introduction to the subject of data accuracy, peppered with real-world anecdotes.
Provides a framework for data profiling with a discussion of analytical tools appropriate for assessing data accuracy.
Is written by one of the original developers of data profiling technology.
An informative reference for any data management staff, IT management staff, and CIOs of companies with data assets.
About the Author
Jack Olson has a B.S. degree from the Illinois Institute of Technology and an M.B.A. from Northwestern University. He has spent the last 36 years developing commercial software and is an expert in the field of data management systems and tools. His career includes several
years
at IBM, BMC Software, and Peregrine Systems. Currently he is chief technology officer and vice president of engineering at Evoke Software, where he created the concept of data profiling.
Understanding the concepts of accurate data is fundamental to improving the ways we collect and use data.
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ABOUT THE AUTHOR
Jack Olson has spent the last 36 years developing commercial software. His career includes several
years
at IBM, BMC Software, Peregrine Systems, and Evoke Software. His jobs included programmer, programming team leader, development manager, product architect, corporate architect, vice president of development, and chief technology officer. Most of the projects he worked on included data management systems or tools. He is
considered
an expert in the field of database management systems. At Evoke Software he created the concept of data profiling and has evolved concepts for building understanding of databases at the content, structure, and quality levels. He has a B.S. degree from the Illinois Institute of Technology and an M.B.A. from Northwestern University.
