The Grumpy Old IT Guy's Data Quality Handbook (Paperback)
Language: English
Published by Independently Published, 2026
Series: Book 4 of 4 - Data Governance
- Softcover
- New

Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
AbeBooks seller since October 12, 2005
Condition: New
US$ 54.58
Quantity: 1 available
Add to basketItem description from seller
Paperback. Data has become one of the most valuable assets within every modern organization, yet its value depends entirely on its quality. Decisions based on incomplete, inconsistent, duplicated, or inaccurate information can lead to operational inefficiencies, regulatory challenges, dissatisfied customers, and missed business opportunities.While organizations continue to invest heavily in analytics, artificial intelligence, cloud platforms, and digital transformation initiatives, many still struggle with a fundamental problem: ensuring that the data driving these technologies is trustworthy.This book provides a practical, hands-on guide to understanding and implementing enterprise data quality. Rather than focusing solely on theory, it presents the principles, processes, governance practices, and technologies that enable organizations to improve the accuracy, consistency, completeness, and reliability of their information assets. Throughout these chapters, you will learn how data quality fits within the broader disciplines of data governance, master data management, reference data management, metadata management, and enterprise architecture. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
Seller Inventory # 9798193541851
- Title
- The Grumpy Old IT Guy's Data Quality Handbook (Paperback)
- Author
- Angelo R. Bobak
- Publisher
- Independently Published
- Publication year
- 2026
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798193541851
- Series
- Book 4 of 4: Data Governance
While organizations continue to invest heavily in analytics, artificial intelligence, cloud platforms, and digital transformation initiatives, many still struggle with a fundamental problem: ensuring that the data driving these technologies is trustworthy.
This book provides a practical, hands-on guide to understanding and implementing enterprise data quality. Rather than focusing solely on theory, it presents the principles, processes, governance practices, and technologies that enable organizations to improve the accuracy, consistency, completeness, and reliability of their information assets. Throughout these chapters, you will learn how data quality fits within the broader disciplines of data governance, master data management, reference data management, metadata management, and enterprise architecture.
"Synopsis" may belong to another edition of this title.
Grand Eagle Retail
Bensenville, IL, U.S.A.
AbeBooks seller since October 12, 2005
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