Monte Carlo method is an algorithmic technique used to understand the impact of the variability of a set of drivers in a forecasting model, using a probabilistic approach.
It is widely used in environments where the number of drivers involved and their volatility is high and documented, especially in market finance.
It would be great if we could assign a probability law to a set of drivers in Anaplan and launch such simulation. The simulation would assign a random value for each of the drivers selected, following the distribution of the law selected, and would result in a result table dimensionned by these drivers.
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