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MIT Summer Course 15.56s
Information Quality: Principles and Implementation, July 15-17, 2002
Mon-Wed, July 15-17, 2002, Tuition: $1,800
Preference is given to early applicants who have paid tuition.
See http://web.mit.edu/professional/summer/index.html
for admission policies and application.
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. |
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