
The Practitioner's Guide to Data Quality Improvement
Description
Key Features
- Offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology.
- Shows how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics.
- Includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning.
Readership
Table of Contents
Preface
Chapter 1: Business Impacts of Poor Data Quality
Chapter 2: The Organizational Data Quality Program
Chapter 3: Data Quality Maturity
Chapter 4: Enterprise Initiative Integration
Chapter 5: Developing a Business Case and a Data Quality Roadmap
Chapter 6: Metrics and Performance Improvement
Chapter 7: Data Governance
Chapter 8: Dimensions of Data Quality
Chapter 9: Data Requirement Analysis
Chapter 10: Metadata and Data Standard
Chapter 11: Data Quality Assessment
Chapter 12: Remediation and Improvement Planning
Chapter 13: Data Quality Service Level Agreements
Chapter 14: Data Profiling
Chapter 15: Parsing and Standardization
Chapter 16: Entity Identity Resolution
Chapter 17: Inspection, Monitoring, Auditing, and Tracking
Chapter 18: Data Enhancement
Chapter 19: Master Data Management and Data Quality
Chapter 20: Bringing It All Together
Product details
- No. of pages: 432
- Language: English
- Copyright: © Morgan Kaufmann 2010
- Published: October 15, 2010
- Imprint: Morgan Kaufmann
- Paperback ISBN: 9780123737175
- eBook ISBN: 9780080920344
About the Author
David Loshin

Affiliations and Expertise
Ratings and Reviews
Latest reviews
(Total rating for all reviews)
ChrisWotton Wed Feb 05 2020
The Practiotioners guide to data quality improvement
A comprehensive and thorough treatment of the subject. Worth reading all the way through but can be referred to easily as a quick reference guide. Highly recommended.