Donald K. Burleson expert systems, decision support systems and AI experience Oracle Tips by Burleson Consulting

When choosing an Oracle consultant for the implementation of complex expert systems, decision support systems or applied artificial intelligence using Oracle, it's critical to choose a consultant with a proven record of success.

Don Burleson Academic experience

In grad school, all IT and CS students take courses like Operations Research where they learn to develop complex decision rules and them apply them to real world datasets.  When I was in grad school I worked on a variety of practical expert system applications.  In all of my projects, the database design (normalization) was critical to the success of the research:

• Cognitive Theory - I assisted a cognitive psychology professor in his research to formulate an equation to described the human concept of "equity".  He devised a questionnaire where subjects evaluated "what is fair", and I assisted in building a data storage engine to store the real-world data for validation of the theoretical model.
   
• Academic Scheduling - I was part of a team that built super-complex decision rules for an complex scheduling problem of scheduling students to course sections, course sections to room, and professors to course sections. We used VSAM files on an IBM mainframe for the storage of the source data.  See "Design and Implementation of a Decision Support System for Academic Scheduling" - (Kassicieh, Burleson, Lievano) - Information & Management - September 1986
   
• Stock Behavior - I assisted a profession in testing an algorithm for predicting the behavior of stocks with a robust covariance.  The decision rules were programmed in SAS and the data was the CRSP database of daily stock prices.

Don Burleson corporate experience in expert systems and DSS

I have extensive experience in the application of real-world systems using Oracle

• Strategic Market forecasting DSS for legal publications – 1988-1992 – This DSS was designed to collect sales information for legal publications and cross-reference the publication with the scope of the jurisdiction of the legal publication. Information was collected from internal and external sources, and a DSS framework was developed to allow senior management to identify un-serviced market niches and develop legal publications to serve the market. I was the project leader for this effort, and I worked closely with programmers, DBA and end-user to successfully implement a DSS that was used by the world’s largest legal publisher to develop their strategic plan.
   
• Latest Case DSS system – 1989-1993 – This system collected new case law from the state and supreme courts and fed a system that allowed attorneys to call and get the latest status of their case law. I was the project leader on this system, and I was responsible for the successful design and implementation of this critical system. This system is still being used today by a major legal publisher.
   
• HMO Data Warehouse – 1996 – This project involved assisting in the creation off the logical data model for an HMO tracking system to track information on patients, medical procedures, physicians assigned to procedures, and cost associated with procedures. I developed a complete logical data model for this data warehouse.
   
• Point Of Sale Data warehouse – 1998-1999 – This system collected point-of-sale information from dozens of major retail chains and loaded the sales information into a data warehouse for analysis. I was responsible for the design and creation of the data enrichment and loading of the information into the data warehouse. I created an external metadata repository that captured external demographic, including data from the 1990 US census and Nielsen Data Research.
   
• Statspackanalyzer project 2006-present - This project captured, generalized and quantified complex decision rules for automatic the analysis of Oracle STATSPACK performance reports.