GECC Loans

"At GECC, we used Optimus RP - Recursive Partitioning Data Mining Software in a novel and unique way: We used it to build a Credit Scoring Model in the high risk sub prime internet lending market! Using the multivariate inference-based recursive partitioning engine of Optimus RP allowed us to build our credit risk model with astonishing speed and mind boggling accuracy. Optimus RP is a unique tool for data mining, and it truly does enable the user to uncover "significance" inside their data sets. I give Optimus RP a standing ovation!!!!"

Brian Watt
Chief Operating Officer , Chief Financial Officer, GECC
Member - GARP - Global Association of Risk Professionals

Texas Tech University

"Optimus RP is a delightful package for data mining. It should prove very useful for companies who wish to implement business intelligence on a smaller scale, and for those companies who want a gentle lead-in.  The inputs and outputs are simple enough to understand by someone with little or no training in statistics, yet the internal methods are state-of-the art, even for Ph.D. statisticians.  In addition, the graphical drill-down interfaces are simple, intuitive, and beautifully descriptive representations of the multidimensional data base being analyzed. Optimus RP is very useful for teaching modern regression methods, as well as for consulting with clients about business intelligence solutions.  I strongly recommend it for teachers and businesses alike".

Peter H. Westfall
John and Marguerite Nivers and Paul Whitfield Horn Professor of Statistics
Fellow of the American Statistical Association
Department of Information Systems and Quantitative Sciences
Jerry S. Rawls College of Business Administration
Texas Tech University

Texas Tech University

"I had great experience with Optimus RP. I will continue to use it for my future research.  I am currently working at the Department of Institutional Research as a research assistant. I am considering using the software for another project regarding the improvement of the quality of education at the university".

Ozzy Akay
Research Assistant
Institutional Research & Information Management
Texas Tech University