The success of corporations and government institutions largely depends on the efficiency with which they can collect, organize, and utilize data about products, customers, competitors, and employees. Fortunately, improving your data quality doesn't have to be such a mammoth task. DATA QUALITY ASSESSMENT is a must read for anyone who needs to understand, correct, or prevent data quality issues in their organization. Skipping theory and focusing purely on what is practical and what works, this text contains a proven approach to identifying, warehousing, and analyzing data errors the first step in any data quality program. Master techniques in: Data profiling and gathering metadata Identifying, designing, and implementing data quality rules Organizing rule and error catalogues Ensuring accuracy and completeness of the data quality assessment Constructing the dimensional data quality scorecard Executing a recurrent data quality assessment