Journey to Data Quality

Yang W. Lee, Leo L. Pipino, James D. Funk, Richard Y. Wang

226 pages, parution le 24/10/2006

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Résumé

All organizations today confront data quality problems, both systemic and structural. Neither ad hoc approaches nor fixes at the systems level--installing the latest software or developing an expensive data warehouse--solve the basic problem of bad data quality practices. Journey to Data Quality offers a roadmap that can be used by practitioners, executives, and students for planning and implementing a viable data and information quality management program. This practical guide, based on rigorous research and informed by real-world examples, describes the challenges of data management and provides the principles, strategies, tools, and techniques necessary to meet them.

The authors, all leaders in the data quality field for many years, discuss how to make the economic case for data quality and the importance of getting an organization's leaders on board. They outline different approaches for assessing data, both subjectively (by users) and objectively (using sampling and other techniques). They describe real problems and solutions, including efforts to find the root causes of data quality problems at a healthcare organization and data quality initiatives taken by a large teaching hospital. They address setting company policy on data quality and, finally, they consider future challenges on the journey to data quality.

L'auteur - Yang W. Lee

Yang W. Lee

is Assistant Professor at the College of Business Administration, Northeastern University and Associate Director for the Total Data Quality Management program at Massachusetts Institute of Technology. She co-founded Cambridge Research Group, a firm specializing in quality information and knowledge management. Her research focuses on information quality, institutional learning, and knowledge management. A recipient of the 1990 Distinguished Research Award from the Association of Management, she has published in leading journals such as Communications of the ACM, Sloan Management Review, and IEEE Computer. Professor Lee received her Ph.D. degree from M.I.T.

L'auteur - Leo L. Pipino

Leo L. Pipino is Professor Emeritus of Management Information Systems at the University of Massachusetts, Lowell.

L'auteur - James D. Funk

James D. Funk is Founder and Chief Information Architect at Beyond Accuracy, LLC.

L'auteur - Richard Y. Wang

Richard Y. Wang

is a pioneer and prominent leader in the field of information quality. He is Associate Professor at Boston University and Co-Director for the Total Data Quality Management program at Massachusetts Institute of Technology where he has been a professor for a decade. Professor Wang has published extensively in top journals on developing concepts, principles, tools, methods, and techniques related to information quality. His other books include Data Quality Systems (Cambridge Market Intelligence), Models of Information Quality (Kluwer Academic Publishers), and Information Technology in Action (Prentice Hall). Professor Wang received his Ph.D. degree from M.I.T.

Sommaire

Preface
Acknowledgments
Introduction
Cost/Benefit Analysis
Assessing Data Quality, Part I
Assessing Data Quality, Part II
Sampling for Data Quality Assurance
Understanding the Anatomy of Data Quality Problems and Patterns
Identifying Root Causes of Data Quality Problems: A Case of a Health Care Organization
Managing Information as Product
Developing Information Product Maps
Data Quality Initiatives: A Case of a Large Teaching Hospital
Data Quality Policy
End of the Journey?
References
Index

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Caractéristiques techniques

	PAPIER
Éditeur(s)	The MIT Press
Auteur(s)	Yang W. Lee, Leo L. Pipino, James D. Funk, Richard Y. Wang
Parution	24/10/2006
Nb. de pages	226
Format	15,5 x 23,5
Couverture	Relié
Poids	457g
Intérieur	Noir et Blanc
EAN13	9780262122870
ISBN13	978-0-262-12287-0