Data Quality
The Accuracy Dimension
Published on 9. January 2003
Book
Paperback/Softback
312 pages
978-1-55860-891-7 (ISBN)
Description
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.
Reviews / Votes
"Jack Olson's contribution represents the superb blend of theory and guidance from a master practitioner." --Peter AikenMore details
Series
Language
English
Place of publication
San Francisco
United States
Publishing group
Elsevier Science & Technology
Target group
Professional and scholarly
data quality practitioners, data analysts, business analysts, database administrators, data administrators, data stewards, data architects, and data modelers; IT management, CIO, CTO and CKO people and their staffs; graduate CS students in data mining classes, graduate b-school students in IT management courses
Product notice
Paperback (trade)
Dimensions
Height: 227 mm
Width: 161 mm
Thickness: 16 mm
Weight
422 gr
ISBN-13
978-1-55860-891-7 (9781558608917)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
E-Book
01/2003
Morgan Kaufmann
€49.95
Available for download
Person
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.
Content
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.