Data Quality Techniques : Strategies for Continuous Data Improvement

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Data Quality Techniques : Strategies for Continuous Data Improvement

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  • 製本 Paperback:紙装版/ペーパーバック版／ページ数 432 p.
  • 言語 ENG
  • 商品コード 9781398628007
  • DDC分類 005.74

Full Description

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

Contents

Section - ONE: Introduction;

Chapter - 01: Why Data Quality Is Important;
Chapter - 02: About the Dimensions of Data Quality;
Chapter - 03: Industry Alignment of the Dimensions of Data Quality;
Chapter - 04: Programs that Support Data Quality;

Section - TWO: Conformed Dimensions;

Chapter - 05: Introduction to Data Quality Measurement using the Conformed Dimensions;
Chapter - 06: Completeness;
Chapter - 07: Accuracy;
Chapter - 08: Precision;
Chapter - 09: Consistency;
Chapter - 10: Validity;
Chapter - 11: Timeliness, Currency and Accessibility;
Chapter - 12: Integrity;
Chapter - 13: Lineage;
Chapter - 14: Representation;

Section - THREE: Techniques to Manage Data Quality;

Chapter - 15: Introduction to Techniques to Manage Data Quality;
Chapter - 16: Choosing Your Approach;
Chapter - 17: Validation Techniques;
Chapter - 18: Completeness and Consistency Techniques;
Chapter - 19: Data Profiling Techniques;
Chapter - 20: Human Directed Audited Techniques;
Chapter - 21: Survey Techniques;
Chapter - 22: Data Contracts;
Chapter - 23: Appendix