The Fisher Center for Information Technology & Marketplace Transformation

Haas School of Business
University of California - Berkeley

 and

The MIT Information Quality Program
present

 The  Winter Information Quality  Workshop

February 18-19, 2003
Wells Fargo Room, Haas School of Business 

Agenda


To REGISTER ON-line - PaST EVENT

Joint UC Berkeley CITM & MIT Information Quality Program

2003 Winter Workshop Agenda

 

Location:          Wells Fargo Room

F402 Haas School of Business

University of California, Berkeley

Berkeley, CA 94720-1930

Tel  (510) 643-5316, Fax (510) 642-2826, E-mail citm@haas.berkeley.haas.edu

      Date:          February 18-19, 2003

 

Workshop Description

 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 Total Data Quality Management (TDQM) program at MIT, and the Center for Information Technology and Marketplace Transformation (CITM) at U.C., Berkeley, you will be exposed to the state-of-the-art research and practice in the data quality field.

By attending this course, you will learn data quality principles, methods, and techniques that have been developed at the MIT TDQM program, 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) and Customer Relationship Management (CRM) 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 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 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. 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.

 

Program Overview

Day 1 - February 18, 2003

·        What concepts and principles are fundamental to Total Data Quality Management (TDQM)

·        How to manage information as a product instead of a by-product

·        How to define information quality beyond accuracy

·        How to define information quality in the context of an organization

·        How to assess information quality in organizations using an example software (computer workshop)

·        How to develop a comprehensive set of information quality metrics based on the TDQM methodology

·        How to implement information quality metrics in practice

·        How can the Relational Model be applied to the development of a TDQM methodology to certify data integrity

·        How do the participants assess the quality of information

 

Day 2 - February 19, 2003

 

·        The Role of Data Quality in Enabling eBusiness Transformation

·        Beyond Integration: Process Interleaving and Data Quality

·        How to model information manufacturing systems to determine the quality of an information product

·        How to plan and implement a TDQM program

·        Participants’ experiences

·        Workshop Certificate &  Evaluation

·        Potential Joint Projects Discussion (bring your project ideas to the workshop)

·        Informal discussions

  

 

Lead Presenters

 

Richard Y. Wang is Principal Investigator of the MIT Information Quality (MIT-IQ) Program and Co-Director for the Total Data Quality Management at the Massachusetts Institute of Technology. He has served as a professor at MIT for a decade and a visiting professor at the University of California, Berkeley. He is President and CEO of Cambridge Research Group, a firm he co-founded in 1994 to provide a wide range of data quality services to Fortune 500 companies and Federal agencies. In 1996, Prof. Wang confounded the premier International Conference on Information Quality (ICIQ), which he has served as the general conference chair, and currently Chairman of the Board. He also co-founded the Workshop on Information Technologies and Systems (WITS) in 1991.

His writings have appeared in the Communications of the ACM, Management Science, Sloan Management Review, Journal of Management Information Systems, Information & Management, Decision Support Systems, Journal of Organizational Computing, Journal of Information Technology & Management, ACM Performance Evaluation Review, IEEE Transactions on Knowledge Engineering, IEEE Transactions on Industrial Electronics, IEEE Computer, Lecture Notes in Computer Science, and major conferences in his field. He is a co-author of 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), Journey to Data Quality (in preparation), and Principles of Data Quality (in preparation).

Dr. Wang received his Ph.D. degree from MIT. He can be reached at rwang@mit.edu, 617-739-7234, http://web.mit.edu/tdqm.

 

Arie Segev is a Professor of Business and the Director of the Fisher Center for Information Technology & Marketplace Transformation at the Haas School of Business, University of California, Berkeley, where he has been leading research projects and out-reach activities in the areas of business-to-business E-commerce and marketplace intermediation, and teaching courses on E-commerce and Information Management. Professor Segev's research has dealt with various business and technology issues related to Electronic Commerce and Information Management. Since starting the Fisher Center in 1995, he has been pursuing projects on business and technology issues in electronic commerce, including CommerceNet sponsored projects on Designing Electronic Catalogs for Business Value and Internet-Based Financial Electronic Data Interchange (EDI), the impact of the Internet on purchasing and supplier relationship, auctioning & bargaining in E-Commerce, and brokering models in business-to-business E-Commerce.

In the last couple of years, Segev’s research has been focused on eBusiness process transformation, procurement of services, e-negotiations and contracting, e-collaboration and e-coordination, and content management and information quality in eBusiness. Professor Segev has published over 100 papers on the above topics in leading journals and conferences, consulted government and industry, and is the recipient of major research grants. He is on the editorial board of major research journals and on the advisory boards and board of directors of several technology companies. Professor Segev can be reached by e-mail at segev@haas.berkeley.edu  . Current information about the Fisher Center for IT & Marketplace Transformation can be found at http://haas.berkeley.edu/citm .