DQMatters Founder and Principal Information Quality Educator, Dan Myers (LinkedIn Profile), has been practicing and consulting in the data management industry for almost 20 years and his seminal work on Data Quality titled Data Quality Techniques: Strategies for Continuous Data Improvement is now coming out in July 2026.
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About the Book:
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
- Anticipate the role of AI in shaping the future of data quality
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