The Practitioner's Guide to Data Quality Improvement (The Morgan Kaufmann Series on Business Intelligence)

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9780123737175: The Practitioner's Guide to Data Quality Improvement (The Morgan Kaufmann Series on Business Intelligence)
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"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

Reseña del editor:

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. It offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. It shows 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.

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1.

David Loshin
Editorial: ELSEVIER SCIENCE TECHNOLOGY, United States (2011)
ISBN 10: 0123737176 ISBN 13: 9780123737175
Nuevos Paperback Cantidad: 1
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The Book Depository
(London, Reino Unido)
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Descripción ELSEVIER SCIENCE TECHNOLOGY, United States, 2011. Paperback. Estado de conservación: New. 231 x 188 mm. Language: English . Brand New Book. 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. It offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. It shows 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. Nº de ref. de la librería AAZ9780123737175

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David Loshin
ISBN 10: 0123737176 ISBN 13: 9780123737175
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Descripción Estado de conservación: New. Brand New books on affordable price.Shipping method: Standard & Expedite, Standard takes 7-8 and Expedited takes 4-6 working days. Due to the constantly changing USPS regulations regarding shipments to APO/FPO addresses we are not currently shipping. Nº de ref. de la librería 0123737176-P07

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David Loshin
Editorial: ELSEVIER SCIENCE TECHNOLOGY, United States (2011)
ISBN 10: 0123737176 ISBN 13: 9780123737175
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Descripción ELSEVIER SCIENCE TECHNOLOGY, United States, 2011. Paperback. Estado de conservación: New. 231 x 188 mm. Language: English . Brand New Book. 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. Nº de ref. de la librería AAZ9780123737175

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Loshin, David
ISBN 10: 0123737176 ISBN 13: 9780123737175
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Descripción Estado de conservación: New. This item is Print on Demand - Depending on your location, this item may ship from the US or UK. Nº de ref. de la librería POD_9780123737175

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David Loshin
Editorial: Elsevier Science & Technology 2010-11-22, San Francisco (2010)
ISBN 10: 0123737176 ISBN 13: 9780123737175
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Blackwell's
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Descripción Elsevier Science & Technology 2010-11-22, San Francisco, 2010. paperback. Estado de conservación: New. Nº de ref. de la librería 9780123737175

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David Loshin
Editorial: Elsevier Science & Technology
ISBN 10: 0123737176 ISBN 13: 9780123737175
Nuevos Paperback Cantidad: 1
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THE SAINT BOOKSTORE
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Descripción Elsevier Science & Technology. Paperback. Estado de conservación: new. BRAND NEW, The Practitioner's Guide to Data Quality Improvement, David Loshin, 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. It offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. It shows 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. Nº de ref. de la librería B9780123737175

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Loshin, David
Editorial: Elsevier Science & Technology (2010)
ISBN 10: 0123737176 ISBN 13: 9780123737175
Nuevos Tapa blanda Primera edición Cantidad: 1
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Descripción Elsevier Science & Technology, 2010. Estado de conservación: New. 2010. 1st Edition. Paperback. Business problems are directly related to missed data quality expectations. This book 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. Series: The Morgan Kaufmann Series on Business Intelligence. Num Pages: 432 pages, 42 illustrations. BIC Classification: UN. Category: (P) Professional & Vocational. Dimension: 233 x 191 x 22. Weight in Grams: 816. . . . . . . Nº de ref. de la librería V9780123737175

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David Loshin
Editorial: Morgan Kaufmann 2010-10-15 (2010)
ISBN 10: 0123737176 ISBN 13: 9780123737175
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Chiron Media
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Descripción Morgan Kaufmann 2010-10-15, 2010. Estado de conservación: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. Nº de ref. de la librería NU-LBR-00861410

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Loshin, David
ISBN 10: 0123737176 ISBN 13: 9780123737175
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Descripción Estado de conservación: New. Bookseller Inventory # ST0123737176. Nº de ref. de la librería ST0123737176

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David Loshin
ISBN 10: 0123737176 ISBN 13: 9780123737175
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Ria Christie Collections
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Descripción Paperback. Estado de conservación: New. Not Signed; 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 socializin. book. Nº de ref. de la librería ria9780123737175_rkm

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