SAS Econometrics

Model-driven systems that use historical data and complex mathematics to forecast future outcomes or anomalies. Includes statistical modeling, machine learning, and time-series forecasting.

Technologies that model systems or environments to test decisions under various scenarios. These tools help forecast outcomes, test risk scenarios, or explore decision impacts in controlled digital environments. Simulation includes vendors delivering feature driven what-if scenario analysis for particular use cases all the way to creating top down full digital twin models of a business, industry, or market.