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Data Quality Jack E. Olson (Chief Technology Officer, NEON Enterprise Software)

Data Quality By Jack E. Olson (Chief Technology Officer, NEON Enterprise Software)

Summary

Corporate data is important as companies continue to find new ways to use it. This book deals with assessing the quality of corporate data and improving its accuracy using the data profiling method. It explains data profiling and shows how it fits into the larger picture of data quality.

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Data Quality Summary

Data Quality: The Accuracy Dimension by Jack E. Olson (Chief Technology Officer, NEON Enterprise Software)

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 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.

Data Quality Reviews

Jack Olson's contribution represents the superb blend of theory and guidance from a master practitioner. --Peter Aiken

About Jack E. Olson (Chief Technology Officer, NEON Enterprise Software)

Jack E. Olson is a widely recognized database technology expert. His career includes significant contributions at IBM, BMC, Evoke, and now NEON Enterprise Software, where he serves as Chief Technology Office. Olson is author of Data Quality: The Accuracy Dimension, also published by Morgan Kaufmann. The inventor of record on several patents, he holds a BS from the Illinois Institute of Technology and an MBA from Northwestern University.

Table of Contents

Preface. Acknowledgements. Forward. Part 1: Understanding Data Accuracy: The Data Quality Problem. Definition of Accurate Data. Sources of Inaccurate Data. Part 2: Implementing a Data Quality Assurance Program: Data Quality Assurance. Data Quality Issues Management. The Business Case for Accurate Data. Part 3: Data Profiling Technology: Data Profiling Overview. Column Property Analysis. Structure Analysis. Single Data Rule Analysis. Complex Object Data Rule Analysis. Value Rule Analysis. Summary. Appendixes : Example of Column Properties, Data Structure, Data Rules and Value Rules. Content of Data Profiling Repository. Bibliography. Index.

Additional information

CIN1558608915A
9781558608917
1558608915
Data Quality: The Accuracy Dimension by Jack E. Olson (Chief Technology Officer, NEON Enterprise Software)
Used - Well Read
Paperback
Elsevier Science & Technology
20030109
312
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book. We do our best to provide good quality books for you to read, but there is no escaping the fact that it has been owned and read by someone else previously. Therefore it will show signs of wear and may be an ex library book

Customer Reviews - Data Quality