Course Description

This intensive course on information 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, to learn how to use state-of-the-art research to understand and solve data-quality problems. Discover ways to increase the value of data warehouse initiatives, reduce costs associated with poor-quality data, and more. By attending this course, you will learn information quality principles, methods, and techniques, and successfully implemented in public and private organizations. You will be able to increase the value of your data warehouse initiatives, and you will learn how to reduce costs associated with poor-quality data in your Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), and Intelligent Commerce applications.

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 information quality, to develop information quality metrics, and to conduct information quality audit. When you leave this course you will have the skills to implement a successful information quality program.

Who should attend?

This course is designed for, but not limited to, senior executives, line managers, corporate planning and policy analysts, information 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 informal interactions. Teams of two participants with complementary responsibilities are strongly encouraged, especially those from technical and functional areas. We also encourage international participants to apply. Preference is given to early applicants.

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Recommended Readings

Journey to Data Quality by Yang Lee, Leo Pipino, James Funk, and Richard Wang, MIT Press (forthcoming). For technically oriented participants, we also recommend Data Quality by Richard Wang, Mostapha Ziad, and Yang Lee, Kluwer Academic Publishers, 2001 (ISBN# 0-7923-7215-8).

Instructors

Richard Wang, Director of MIT Information Quality (MITIQ) Program at the Center for Technology, Policy, and Industrial Development (CTPID) and Co-Director for the Total Data Quality Management (TDQM) Program at MIT Sloan School of Management. Dr. Wang has served as a professor at MIT for a decade, a professor at the University of Arizona, Boston University, and a Visiting Professor at the University of California, Berkeley.

At MITIQ Program, Dr. Wang has developed a well-received information quality curriculum to certify practitioners for positions such as corporate IQ analyst, manager, and trainer. His outreach programs such as the MITIQ consortium extend Information quality principles and theories to intelligence quality in homeland security, information architecture in both public and private sectors, and intelligent commerce. At TDQM Program, Dr. Wang co-heads the innovative Corporate Household research that investigates relationships of business units within the firm and across organizational boundaries such as those in supply chains.

Dr. Wang has put the term Information Quality on the intellectual map with myriad journal and conference publications. His books on information quality include Quality Information and Knowledge (Prentice Hall, 1999), Data Quality (Kluwer Academic, 2001) and Journey to Data Quality (MIT Press, forthcoming).  Dr. Wang received his Ph.D. degree from MIT. He can be reached at rwang@mit.edu, or (617) 739-7234, http://mitiq.mit.edu, http://mitiq.mit.edu/ICIQ

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 Associate Professor, in the Information, Operations & Analysis Group, College of Business Administration at Northeastern University, and President and CEO 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.

To provide participants with the maximum benefits, we plan to invite leading practitioners and researchers such as Donald Ballou, Bruce Davidson, Frank Dravis, and James Funk.

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