Both public and private databases can provide important insights for forecasting and planning. For example, historical prices and volumes, production times, commodity and energy prices, demand curves, and macroeconomic variables. This webinar will present how to use the @RISK to interpret and use historical data in predictive and risk analysis models. We'll cover Data Visualizer, Distributions Fitting, Special Functions, Time Series Fitting, and Correlations with @RISK.