Practical Data Quality
eBook Details:
- Paperback: 318 pages
- Publisher: WOW! eBook (September 29, 2023)
- Language: English
- ISBN-10: 180461078X
- ISBN-13: 978-1804610787
eBook Description:
Practical Data Quality: Identify data quality issues, leverage real-world examples and templates to drive change, and unlock the benefits of improved data in processes and decision-making
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.
- Explore data quality and see how it fits within a data management programme
- Differentiate your organization from its peers through data quality improvement
- Create a business case and get support for your data quality initiative
- Find out how business strategy can be linked to processes, analytics, and data to derive only the most important data quality rules
- Monitor data through engaging, business-friendly data quality dashboards
- Integrate data quality into everyday business activities to help achieve goals
- Avoid common mistakes when implementing data quality practices
By the end of this Practical Data Quality 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.