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Loshin, David

The Practitioner's Guide to Data Quality Improvement (Kartoniert / Broschiert / Paperback)

Reihe: The Morgan Kaufmann Series on Business Intelligence

Elsevier Science & Technology, Oktober 2010

432 S. - Sprache: Englisch - 42 illustrations; Illustrations, unspecified - 233x191x22 mm

ISBN: 0123737176 EAN: 9780123737175

Information is an asset that is generated through numerous processes, with multiple feeds of raw data that are combined, processed, and fed out to multiple customers both inside and outside your organization. Many business problems can be directly tied to a situation in which data quality is below expectations. This can, however, be mitigated by closely controlling the quality of the process, overseeing the activities from beginning to end, and ensuring that any imperfections are identified as early as possible. The Practitioner's Guide to Data Quality Improvement provides readers with the fundamentals for developing an enterprise data quality program, and it serves as a guide for both the practitioner and the manager in establishing a data quality center of excellence. Readers are presented with information about business case templates, characterization of business impacts, correlated metrics, visualization and reporting, and the use of data quality tools. This seminal text offers advice on how to actually get the job done, not shying away from difficult topics or subjects.

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Über den Autor

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.


"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

ISBN 0-123737-17-6, ISBN 0-12-373717-6, ISBN 0-12373-717-6, ISBN 0-123-73717-6, ISBN 0-1237-3717-6

ISBN 978-0-123737-17-5, ISBN 978-0-12-373717-5, ISBN 978-0-12373-717-5, ISBN 978-0-123-73717-5, ISBN 978-0-1237-3717-5

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