Poor data quality can lead to increased costs, hinder revenue growth, compromise decision-making, and introduce risk into organizations. This leads to employees, customers, and suppliers finding every interaction with the organization frustrating.
Practical Data Quality provides a comprehensive view of managing data quality within your organization, covering everything from business cases through to embedding improvements that you make to the organization permanently. Each chapter explains a key element of data quality management, from linking strategy and data together to profiling and designing business rules which reveal bad data. The book outlines a suite of tried-and-tested reports that highlight bad data and allow you to develop a plan to make corrections. Throughout the book, you’ll work with real-world examples and utilize re-usable templates to accelerate your initiatives.
By the end of this book, you’ll have gained a clear understanding of every stage of a data quality initiative and be able to drive tangible results for your organization at pace.

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Spis treści

Practical Data Quality. Learn practical, real-world strategies to transform the quality of data in your organization eBook -- spis treści

• 1. The Impact of Data Quality on Organizations
• 2. The Basics of Data Quality
• 3. The Business Case for Data Quality
• 4. Getting Started with a Data Quality Initiative
• 5. Data Discovery
• 6. Data Quality Rules
• 7. Monitoring Data Against Rules
• 8. Data Quality Remediation
• 9. Embedding Data Quality into Organizations
• 10. Best Practices and Common Mistakes