Improving Data Warehouse and Business Information Quality

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This comprehensive guide focuses on quality improvement in information and data warehouse management, addressing the significant financial losses companies face due to inaccurate and missing data. Such issues not only affect operational databases but also lead to data warehouse failures. By implementing the information quality improvement and control systems outlined in this guide, organizations can reduce costs and enhance profits through high-quality information assets. Authored by a recognized expert in the field, the book provides a robust set of tools and techniques for ensuring data quality in both source databases and data warehouses. It includes best-practice case studies that illustrate key concepts, such as measuring information quality and understanding the business costs associated with poor data quality. The guide also covers how to select appropriate information quality tools, reengineer and cleanse data for better quality before it enters the warehouse, improve information creation processes at the source, and integrate quality controls into data warehouse operations. The author, Larry P. English, is a leading authority in information quality and an active contributor to industry discussions through his columns and conference presentations.