This intensive workshop on data quality management is designed to give participants capability and skills to understand and solve data quality problems, and to deliver the benefits of improved data quality. Based on the research findings and experiences with leading organizations conducted by the TDQM program at MIT, you will be exposed to the state-of-the-art research and practice in the data quality field. You will develop an understanding of the characteristics of information product. You will learn the processes to develop data element maps. You will apply the principles of managing information as a product to your organization. Additionally, you will learn the principles that lead to a continuous improvement cycle for data quality, to develop data quality metrics, and to conduct data quality audit. When you leave this workshop you will have the skills to implement a successful data quality program. Participants are strongly encouraged to develop a project description for a data quality program prior to attending the course (a project description template is available upon request). In addition, participants who wish to gain a deeper, hands-on experience on data quality tools are required to bring their laptop with MS NT or Windows 98/2000 to the course.

Who should attend?
This course is designed for, but not limited to, senior executives, line managers, corporate planning and policy analysts, data quality managers, quality assurance managers, data warehouse managers, and data administrators. It is also well suited for scholars who wish to gain an in-depth understanding of the leading research in this field. Enrollment is limited in order to ensure diversity while permitting small group interactions. Teams of two participants with complementary responsibilities are strongly encouraged (10% discount with consent from course instructor), especially those from technical and functional areas. We also encourage international participants to apply. Preference is given to early applicants.

Textbooks
Required textbooks: (1) Journey to Data Quality co-authored by Richard Wang, James Funk, Yang Lee, and Leo Pipino, MIT Press (forthcoming) and
(2) Quality Information and Knowledge by Kuan-Tsae Huang, Yang W. Lee and Richard Y. Wang, Prentice Hall, 1999 (ISBN#: 0-13-010141-9).
Recommended for technically oriented participants: Data Quality by Richard Wang, Mostapha Ziad, and Yang Lee, Kluwer Academic Publishers, 2001 (ISBN# 0-7923-7215-8).

Instructors

Richard Wang is a pioneer and prominent leader in the data quality field. He is Co-Director for the TDQM Program at Massachusetts Institute of Technology, where he had been a professor for a decade prior to joining the faculty of Boston University. Prof. Wang has published extensively in top journals to develop concepts, principles, tools, methods, and techniques related to information quality. He can be reached at http://web.mit.edu/TDQM, 617-739-7234, rwang@mit.edu.

Stuart Madnick is John Maguire Professor of Information Technology, Leaders for Manufacturing Professor of Management Science at MIT Sloan School of Management, and Co-director for the TDQM Program. He can be reached at smadnick@mit.edu.

Yang Lee is Assistant Professor, Joseph G. Reisman Research Professor in the Management Science Group at Northeastern University, and President of Cambridge Research Group, a firm that she co-founded to advance the field of information quality. She can be reached at ylee@mit.edu or y.lee@neu.edu.

James Funk is IS Manager - Global Information Architecture at S. C. Johnson and the Practice Conference Chair for the 6th-8th International Conference on Information. A co-author of Journey to Data Quality (forthcoming, MIT Press), Mr. Funk has extensive industry experiences in issues related to data quality management, data warehouse, and ERP/ERM implementation. He can be reached at JDFunk@scj.com.

Arie Segev is a Professor at the Haas School of Business, UC Berkeley, and the Director of the Fisher Center for Information Technology & Marketplace Transformation (CITM), where he has been leading research projects and out-reach activities related to eBusiness and Information Management. He has published extensively in those areas, serves on the editorial board of major research journals, and is on the advisory boards of several technology companies. Segev can be reached at http://haas.berkeley.edu/citm .

To provide participants with the maximum benefits, we plan to invite leading practitioners and researchers such as Tom Redman, Bruce Davidson, Leo Pipino, and Donald Ballou.