Data and Text Mining: Enables users to sift through data to build descriptive and predictive models.
Data Visualization: Provides insights through data aggregation and dynamic data visualization.
Forecasting: Uses past and current data to predict future outcomes.
Operations Research and Analysis: Enables organizations to manage optimization, and use project scheduling and simulation techniques to pinpoint actions and behavior that drive performance.
Quality Improvement: Enables organizations to identify, monitor and track quality initiatives over time.
Statistical Analysis: Offers the ability to cull and sift through data to produce statistical models that drive decision making.