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 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 worked examples, 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
eBook - ePub
Data Quality Techniques
Strategies for Continuous Data Improvement
- 405 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
About this book
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Information
Table of contents
- List of figures and tables
- About the author
- Preface
- Acknowledgements
- PART ONE Introduction
- 1 Why Data Quality is Important
- 2 About the Dimensions of Data Quality
- 3 Industry Alignment of the Dimensions of Data Quality
- 4 Programs that Support Data Quality
- PART TWO Conformed Dimensions
- 5 Introduction to Data Quality Measurement Using the Conformed Dimensions
- 6 Completeness
- 7 Accuracy
- 8 Precision
- 9 Consistency
- 10 Validity
- 11 Timeliness, Currency, and Accessibility
- 12 Integrity
- 13 Lineage
- 14 Representation
- PART THREE Techniques to Manage Data Quality
- 15 Introduction to Techniques to Manage Data Quality
- 16 Choosing Your Approach
- 17 Introduction to Validation Techniques
- 18 Completeness and Consistency Techniques
- 19 Data Profiling Techniques
- 20 Human-Directed Audit Techniques
- 21 Survey Techniques
- 22 Data Contracts
- Appendix
- Index
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Yes, you can access Data Quality Techniques by Dan Myers,Daniel Myers in PDF and/or ePUB format, as well as other popular books in Computer Science & Information Management. We have over 1.5 million books available in our catalogue for you to explore.