This webinar will present how to use the DecisionTools Suite to build predictive models based on historical data. 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. We will present 3 tools from the DecisionTools Suite: @RISK, StatTools, and NeuralTools. We'll then apply them to the tasks of understanding historical data and forecasting their future value - including the uncertainty of the underlying variables and the error level of the models.