Data Quality Techniques - Strategies for Continuous Data Improvement

Equip yourself with proven techniques to turn poor-quality data from a costly liability into a measurable advantage.

Data Quality Techniques is a hands-on guide for mid-career data professionals who need to transform data into a reliable, strategic asset. Designed around the Conformed Dimensions of Data Quality framework, this book shows how to define and measure data quality and communicate expectations in ways that drive real business impact.

With clear definitions, industry examples and actionable tools, you'll learn how to:
- Improve data consistency and accuracy
- Uncover hidden data quality issues
- Apply data governance principles to data quality projects
>Packed with real-world examples from IT, insurance and healthcare, Data Quality Techniques gives you the frameworks and tools to improve your data so that it supports growth, compliance and smarter decision making.

Themes include: data quality management, data governance, data consistency, AI in data, data profiling, data strategy, data management techniques

About the author

Dan Myers is an experienced data management leader and the Principal of DQMatters. His work focuses on helping large enterprises develop successful data quality initiatives and he has worked with many organizations including Farmers Insurance, Apple and Rio Tinto. His data quality framework, the Conformed Dimensions of Data Quality, has been adopted by numerous organizations. He is the former president of the International Association for Information and Data Quality and is based in San Jose, CA.

Product details

• Authors: Dan Myers, Myers Dan
• Publisher: Kogan Page
• Languages: English
• Product format: Paperback / Softback
• Release: 03.07.2026
• EAN: 9781398628007
• ISBN: 978-1-398-62800-7
• No. of pages: 320
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; BUSINESS & ECONOMICS / Information Management, TECHNOLOGY & ENGINEERING / Quality Control, BUSINESS & ECONOMICS / Development / Business Development, Information Retrieval, Management of specific areas, COMPUTERS / Data Science / Data Modeling & Design, Data analysis: general, Data science and analysis: general, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Database Administration & Management, Data capture and analysis, Data Capture & Analysis, COMPUTERS / Data Science / Data Warehousing, IT and information systems management