Case Study: OSU Tulsa achieves advanced data discovery and predictive modeling with Statistica Data Miner

OSU TULSA - Customer Case Study

Oklahoma State University, serving both traditional and many working, non‑traditional students, needed a powerful but user‑friendly data mining tool to tackle a wide range of classification and prediction problems—from predicting diabetic risk and targeting marketing campaigns to forecasting financial indicators like the S&P 500 and FX rates. Faculty also required a platform suitable for teaching graduate IT students and for academic research.

OSU selected STATISTICA Data Miner for its extensive algorithm library, graphical process‑map interface, rich visualization, web deployment, parallel processing speed, and strong documentation and support. The tool let students rapidly preprocess data, build and compare models, generate comprehensive reports, and deploy models to production—improving turnaround on projects, supporting coursework and research, and meeting practical deadlines.

OSU TULSA