MIT MIT TDQM Program

 

DQ Workshop at UC Berkeley, Tues-Wed, February 18-19, 2003
Register for the DQ Workshop (past event)
Pay for the DQ Workshop (if you have already registered)

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 and CITM Center at Berkeley, 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 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. 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 workshop.

Who should attend?
This workshop 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. We also encourage international participants to apply.

Lead Instructors

MIT TDQM
Richard Wang is a pioneer and internationally known leader in the data quality field. He is a Principle Investigator at the Center for Technology, Policy, and Industrial Development (CTPID) and Co-Director for the Total Data Quality Management (TDQM) Program at the Massachusetts Institute of Technology, where he has been a professor for a decade. He is also a visiting professor at the CITM, University of California at Berkeley. Prof. Wang also served a professor at Boston University and the University of Arizona, Tucson. He has published extensively in top journals to develop concepts, principles, tools, methods, and techniques related to data quality. He co-authored Information Technology in Action: Trends and Perspectives (Prentice Hall, 1993), Data Quality Systems (CMI, 1995), Quality Information and Knowledge (Prentice Hall, 1999), Data Quality (Kluwer Academic Publisher, 2001), and Journey to Data Quality (MIT Press, forthcoming). He can be reached at http://web.mit.edu/TDQM, 617-739-7234, rwang@mit.edu.

FISHER CITM
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, segev@haas.berkeley.edu.