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Data Quality: The Accuracy Dimension (The Morgan Kaufmann Series in Data Management Systems)

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An informative resource for any data management staff, IT management staff, and CIOs of companies with data assets.

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.

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.
* Is a must-read 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.
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