More and more companies recognize good data quality management as a crucial competitive advantage: IT costs decrease, projects are accelerated, and responses to market changes or regulatory requirements can be made more quickly and flexibly. Data integration across system, departmental, and organizational boundaries is facilitated, preventing poor decisions based on inadequate data. This book provides practical examples that demonstrate how you can purposefully and sustainably improve the quality of your data. Analyze the causes and effects of poor data quality and discover which investments are truly worthwhile. Learn the fundamentals of data quality management, the technical implementation with tailored tools, and the practical application in a complete cycle of a BI project.