Includes bibliographical references (pages 279-281) and index.
Note
Print version record.
Contents
The data quality problem -- Definition of accurate data -- Sources of inaccurate data -- Data quality assurance -- Data quality issues management -- The business case for accurate data -- Column property analysis -- Structure analysis -- Simple data rule analysis -- Complex data rule analysis -- Value rule analysis.
Summary
"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 large picture of data quality."--Jacket
