This mini track addresses issues of data warehousing. Data warehousing has emerged as a key technology for supporting information management in organizations. It has become a critical component for s enormous impact as a catalyst for effectiveness and efficiency in managing business intelligence, is obvious and its value will only increase with the advent of knowledge-based business operation and of electronic commerce.

The Data Warehousing minitrack will serve various data warehousing issues in terms of that include architecture, applications, processes, and managerial and technical aspects. Possible Topics may include the following are listed below:

• Data Extraction, Cleaning and Transformation
• Very Large Database Technology (>350 Gb of actual data)
• Important applications of Data Warehousing, including OLAP
• The Warehouse on the Web
• Managerial and Organizational Issues
• Decision support systems
• Executive information systems
• Graphical information systems
• Data structure issues
• Meta-data management
• Business values and ROI (return on investment) from warehousing
• Current practices and future trends
• Data quality issues
• Migration to a total knowledge management system
• Development methodologies
• Role of object orientation technology in data warehousing
• Architectural issues

Barbara Haley Wixomn (*)
University of Virginia
McIntiyre School of Business Commerce
Email: bhaley@mindspring.com

Peter Wolcott
Information Systems and Quantitative Analysis
College of Information Science and Technology
University of Nebraska at Omaha
Email: Peter_Wolcott/IST/UNO/UNEBR@unomail.unomaha.edu

Bongsik Shin (*)
Information and Decision Systems
College of Business Administration
San Diego State University
Tel: 619-594-2133
Email: bshin@mail.sdsu.edu