The Practitioner's Guide to Data Quality Improvement

The Practitioner's Guide to Data Quality Improvement

1st Edition - October 15, 2010
This is the Latest Edition
  • Author: David Loshin
  • Paperback ISBN: 9780123737175
  • eBook ISBN: 9780080920344

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Description

The Practitioner's Guide to Data Quality Improvement offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. It shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. It demonstrates how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. It includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning. This book is recommended for data management practitioners, including database analysts, information analysts, data administrators, data architects, enterprise architects, data warehouse engineers, and systems analysts, and their managers.

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

Data management practitioners, including database analysts, information analysts, data administrators, data architects, enterprise architects, data warehouse engineers, and systems analysts, and their managers.

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

David Loshin
David Loshin is President of Knowledge Integrity, Inc., a company specializing in data management consulting. The author of numerous books on performance computing and data management, including “Master Data Management" (2008) and “Business Intelligence – The Savvy Manager’s Guide" (2003), and creator of courses and tutorials on all facets of data management best practices, David is often looked to for thought leadership in the information management industry.

Affiliations and Expertise

President, Knowledge Integrity Incorporated, Silver Spring, MD, USA

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.