The Practitioner's Guide to Data Quality Improvement
By:David Loshin
Published on 2010-11-22 by Elsevier
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.
This Book was ranked at 9 by Google Books for keyword Data Warehousing.
Book ID of The Practitioner's Guide to Data Quality Improvement's Books is B3zd4GCAWeYC, Book which was written byDavid Loshinhave ETAG "aOiVs+WlsHc"
Book which was published by Elsevier since 2010-11-22 have ISBNs, ISBN 13 Code is 9780080920344 and ISBN 10 Code is 0080920349
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