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Data Quality Fundamentals
Book • 2022
Data Quality Fundamentals provides a comprehensive guide to understanding and managing data quality within organizations.
The book covers various aspects of data quality, including data profiling, data cleansing, and data governance.
It emphasizes the importance of data quality for business decision-making and operational efficiency.
The authors offer practical strategies and techniques for improving data quality, drawing on their extensive experience in the field.
The book is a valuable resource for data professionals, business leaders, and anyone seeking to improve the quality of their data.
The book covers various aspects of data quality, including data profiling, data cleansing, and data governance.
It emphasizes the importance of data quality for business decision-making and operational efficiency.
The authors offer practical strategies and techniques for improving data quality, drawing on their extensive experience in the field.
The book is a valuable resource for data professionals, business leaders, and anyone seeking to improve the quality of their data.
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Mentioned in 1 episodes
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as a resource for understanding data quality fundamentals.

Hugo Bowne-Anderson

30 snips
Episode 14: Why Most Companies Aren’t Actually AI Ready (and What to Do About It)