Automate distribution fitting for multiple data sets.

Determine which variables should become assumptions.

Rapidly define and change your assumption correlations.

Assess the reliability and accuracy of your forecasts.

Quickly evaluate how a range of decisions affects your forecast variable.

See which assumption values (inputs) produced a specific forecast result.

Address the effects of uncertainty and variability in your simulation model.