The Practitioner's Guide to Data Quality Improvement (The MK/OMG Press)

The Practitioner's Guide to Data Quality Improvement (The MK/OMG Press)

by David Loshin (Author)

Synopsis

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.

$62.87

Quantity

10 in stock

More Information

Format: Paperback
Pages: 432
Publisher: Morgan Kaufmann
Published: 22 Nov 2010

ISBN 10: 0123737176
ISBN 13: 9780123737175
Book Overview: Develop a winning enterprise data quality program with the best tools and perspectives from data quality expert David Loshin

Media Reviews
There is NOTHING like this out there that I am aware of, and certainly nothing from anyone with same stature as David Loshin. --David Plotkin, Wells Fargo Bank The book provides a comprehensive look at data quality from both a business and IT perspective. It does not just cover technology issues, but discusses people, process, and technology. And that is important, because this is the mix that is needed in order to initiate any type of quality improvement regimen. --Data Technology Today Blog
Author Bio
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.