This webinar will show the different ways we can visualize, interpret, model, and simulate historical data using @RISK and the DecisionTools Suite (DTS). We will use hands-on examples and provide an intuitive approach to modeling according to the business challenges at hand.
We will use the tools provided by the DecisionTools Suite to:
(i) Understand and interpret historical data
(ii) Overview of available resources to model data in DTS: distribution fitting, time series, regression, neural networks, correlation
(iii) Build a forecast model from data
(iv) Simulate new data using Monte Carlo simulation
(v) Analyze the simulation results and discuss how to best present them

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