New ISQS Center for Advanced Analytics and Business Intelligence

Dr. Peter H. Westfall, Horn Professor of Statistics in the Area of Information Systems and Quantitative Sciences has created a center housed in the Rawls College of Business Administration at Texas Tech University called “Center for Advanced Analytics and Business Intelligence,” or CAABI.  The center has received all but final approval from the regents, and is off to a roaring start:    

  • A class called “Directed Studies in Business Intelligence” was offered in Spring ’04 under the auspices of CAABI. Students were involved in various projects, including:
    •  Development of a set of white papers on various aspects of BI, including text mining using freeware, market mix models, business intelligence for financial institutions, and web mining.
    • Creation of a CAABI web page http://caabi.ba.ttu.edu/.
    • Analysis of inventory data from a large automobile manufacturer to predict time-on-lot from car features and region.
    • Involvement with the local Tyco production facility on two projects (a) reduce waste by improving their data capture and delivery systems, (b) utilization of Data Mining tools to improve plant efficiencies.
    • Submission of a paper to the student APICS competition on business intelligence and resource management.
  • CAABI has joined forces with the Center for Innovative Organizations, headed by Dr. Barry Macy of the Management area of the Rawls College, to develop a BI proposal for integrating corporate, customer, and consumer data for one of Proctor and Gamble’s global business units.   The $1,000,000 grant proposal is currently being evaluated by P&G.
  • A new course will be offered under the auspices of CAABI for Fall ‘04 entitled “Data and Text Mining for Business Intelligence.”  The course will utilize business intelligence software of SAS Institute, and will serve Masters and Doctoral students.
  • Grid computing has now been established in the Rawls College as an outcome of CAABI activities.  Grid computing allows multiple computers to work in parallel, accomplishing compute-intensive jobs in a small fraction of the time needed for a single computer.  Working with the TTU CIO Sam Segran, CAABI secured 100 licenses of grid enabling software for installation in the lab machines.  The grid system has been used successfully for a research project studying events in financial data, performing 25 hours of computation in 40 minutes. 
  • CAABI sponsors a course in Six Sigma, taught in the ISQS department by Dr. Pat Smith, Research Professor in ISQS, with software and training opportunities.  Recently, CAABI sponsored Dr. Smith’s attendance at a conference on incorporating Six Sigma methods in Health Organization Management.

 Future goals for CAABI include

  • Undergraduate and graduate majors and minors in Business Intelligence
  • Certification programs in data mining
  • More external industry involvement, local and non-local.
  • A CAABI newsletter