The Practitioner s Guide to Data Quality Improvement

This book PDF is perfect for those who love Computers genre, written by David Loshin and published by Elsevier which was released on 22 November 2010 with total hardcover pages 432. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related The Practitioner s Guide to Data Quality Improvement books below.

The Practitioner s Guide to Data Quality Improvement
Author : David Loshin
File Size : 49,9 Mb
Publisher : Elsevier
Language : English
Release Date : 22 November 2010
ISBN : 0080920349
Pages : 432 pages
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The Practitioner s Guide to Data Quality Improvement by David Loshin Book PDF Summary

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. 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.

The Practitioner s Guide to Data Quality Improvement

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

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Data governance looks simple on paper, but in reality it is a complex issue facing organizations. In this practical guide, data experts Uma Gupta and San Cannon look to demystify data governance through pragmatic advice based on real-world experience and cutting-edge academic research.

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Outlines and Highlights for the Practitioners Guide to Data Quality Improvement by David Loshin

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