Practical Data Quality: Learn practical, real-world strategies to transform the quality of data in your organization

English | 2023 | ISBN: 978-1804610787 | 318 Pages | PDF, EPUB | 18 MB

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

Key Features

• Get a practical explanation of data quality concepts and the imperative for change when data is poor
• Gain insights into linking business objectives and data to drive the right data quality priorities
• Explore the data quality lifecycle and accelerate improvement with the help of real-world examples

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.

What you will learn

• 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