The Practitioner's Guide to Data Quality Improvement

David Loshin

ISBN 10: 0123737176 / ISBN 13: 9780123737175

Published by Morgan Kaufmann Dez 2010, 2010

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 432 pp. Englisch.

Seller Inventory # 9780123737175

Bibliographic Details

• Title: The Practitioner's Guide to Data Quality Improvement
• Publisher: Morgan Kaufmann Dez 2010
• Publication Date: 2010
• Language: English
• ISBN 10: 0123737176
• ISBN 13: 9780123737175
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 191H x 23D millimeters 235 millimeters width by 191 millimeters height by 23 millimeters depth
• Weight: 746 grams

About this title

Synopsis

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.

About the Author

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.