Data Quality: The Accuracy Dimension (The Morgan Kaufmann Series in Data Management Systems) | 
| Author: Jack E. Olson
Publisher: Morgan Kaufmann
Category: Book
List Price: $52.95
Buy New: $41.94
You Save: $11.01 (21%)
New (13) Used (8) from $41.91
Avg. Customer Rating:  6 reviews
Sales Rank: 79339
Media: Paperback
Edition: 1
Number Of Items: 1
Pages: 300
Shipping Weight (lbs): 0.9
Dimensions (in): 8.7 x 6 x 0.7
ISBN: 1558608915
Dewey Decimal Number: 005
EAN: 9781558608917
ASIN: 1558608915
Publication Date: December 26, 2002
Availability: Usually ships in 1-2 business days
Shipping: International shipping available
Condition: Brand New, Perfect Condition, Please allow 4-14 business days for delivery. 100% Money Back Guarantee, Over 1,000,000 customers served.
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Product 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.
* 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.
* Is a must-read for any data management staff, IT management staff, and CIOs of companies with data assets.
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| Customer Reviews: Read 1 more reviews...
 Not helpful for small business November 29, 2007
1 out of 3 found this review helpful
This book, while well intentioned, is not great for a small business audience. The book assumes you are working in a large scale environment where one person's job is to focus on data quality. If you wear more than one hat in your job many of the approaches are simply not practical in this book as their return on investment would not be worth the effort to implement.
This might be excellent for Fortune 500 companies, but for smaller shops this book will not push you very far solving problems on a day to day basis.
 If you can only read one book on the subject.... January 30, 2007
1 out of 2 found this review helpful
Far and away the best written, clearest, and easiest to follow book on the subject. If you only have time for one book on this subject , this is the only one you need. "Enterprise Knowledge Management" by Loshin is great, but more technical.
Practical techniques that will have an impact on your ETL September 29, 2004
15 out of 16 found this review helpful
Concepts and technical approaches for analyzing and improving the usefullness of source data are presented in a well organized and logical sequence. Not quite a roadmap/algorithm for achieving data quality; it's balanced a little more on the conceptual side. The techniques and concepts presented are ones you _will_ want to begin using if you have any data quality issues in your source data (and who doesn't), I guarantee that. As a working ETL developer referencing disparate, low quality data, this book has had an impact on our approach, our results, and our project. Short and to the point, it's an easy study also!
A groundbreaking book! The scoop on Data Profiling. September 8, 2004
9 out of 10 found this review helpful
Jack Olson coined the term "data profiling" and essentially founded this important new field in the area of data quality assessment. His revolutionary techniques, outlined in this book, can provide IT professionals with an important new set of tools for analyzing data quality. This is a must read for anyone working in the data quality field today. I also recommend it for people in related fields such as data warehousing, Enterprise Application Integration, and database design. With so many "me too" books in the computer field, it's a real joy to find a book that really does break new ground.
Best Data Quality Book (repost) January 16, 2004
38 out of 42 found this review helpful
This book is the clearest, most practical book on data profiling and data quality that I have seen. Jack breaks down data quality issues into specific categories, and leaves you with a vision of what to do if you are building a data warehouse. His practical experience shows through very clearly and he talks to the IT developer (the reader) very effectively.This book is on my very short list of essential reading for data warehouse professionals. Ralph Kimball
Data Warehouse Author
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