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The Practitioner's Guide to Data Quality Improvement (Mk/Omg Press)

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The Practitioner's Guide to Data Quality Improvement (Mk/Omg Press) Cover

 

Synopses & Reviews

Publisher Comments:

Business problems are directly related to missed data quality expectations. Flawed information production processes introduce risks preventing the successful achievement of critical business objectives. However, these flaws are mitigated through data quality management and control: controlling the quality of the information production process from beginning to end to ensure that any imperfections are identified early, prioritized, and remediated before material impacts can be incurred. The Practitioner's Guide to Data Quality Improvement 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. This book shares templates and processes for business impact analysis, defining data quality metrics, inspection and monitoring, remediation, and using data quality tools. Never shying away from the difficult topics or subjects, this is the seminal book that offers advice on how to actually get the job done.

  • 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.

Synopsis:

Develop a winning enterprise data quality program with the best tools and perspectives from data quality expert David Loshin

About the Author

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.

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

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

ISBN:
9780123737175
Author:
Loshin, David
Publisher:
Morgan Kaufmann Publishers
Author:
Cram101 Textbook Reviews
Subject:
Database Management - General
Subject:
Database design
Subject:
Education-General
Series:
The MK/OMG Press
Publication Date:
20101031
Binding:
TRADE PAPER
Language:
English
Pages:
432
Dimensions:
9.25 x 7.5 in

Related Subjects

Business » Management
Computers and Internet » Computers Reference » General
Computers and Internet » Database » Design
Computers and Internet » Internet » Information
Computers and Internet » Personal Computers » General
Computers and Internet » Software Engineering » Software Management
Religion » Comparative Religion » General
Science and Mathematics » Chemistry » General

The Practitioner's Guide to Data Quality Improvement (Mk/Omg Press) New Trade Paper
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$83.25 In Stock
Product details 432 pages Morgan Kaufmann Publishers - English 9780123737175 Reviews:
"Synopsis" by , Develop a winning enterprise data quality program with the best tools and perspectives from data quality expert David Loshin
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