
- 300 pages
- English
- PDF
- Available on iOS & Android
About this book
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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Information
Table of contents
- Front Cover
- Data Quality: The Accuracy Dimension
- Copyright Page
- Foreword
- Contents
- Preface
- Part I: Understanding Data Accuracy
- Part II: Implementing a Data Quality Assurance Program
- Part III: Data Profiling Technology
- Appendix A. Examples of Column Properties , Data Structure, Data Rules , and Value Rules
- Appendix B. Content of a Data Profiling Repository
- References
- Index
- About the Author