Description: Practitioner's Guide to Data Quality Improvement, Paperback by Loshin, David, ISBN 0123737176, ISBN-13 9780123737175, Like New Used, Free shipping in the US 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.
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Book Title: Practitioner's Guide to Data Quality Improvement
Number of Pages: 432 Pages
Language: English
Publication Name: Practitioner's Guide to Data Quality Improvement
Publisher: Elsevier Science & Technology
Subject: Desktop Applications / Databases, Information Management, Data Processing, Databases / General
Publication Year: 2010
Type: Textbook
Item Length: 9.2 in
Subject Area: Computers, Business & Economics
Author: David Loshin
Series: The Morgan Kaufmann Series on Business Intelligence Ser.
Item Width: 7.5 in
Format: Trade Paperback