Sharing Simulation Models – Part III: The @RISK Library

Another great way to collaborate with others is through the @RISK Library. This is a SQL-based database that lets you store customized @RISK functions with the specific parameters that you need.  Then others can pull the same @RISK function for their risk analysis models, directly from the standard Define Distribution window. This way you can be sure everyone is using consistent parameters in the statistical analysis.

You can also store simulation results in the @RISK Library. This is a great tool for auditing simulations to see exactly what happened, what changed, and what affected the outcome. Furthermore, these simulation results can be used as inputs for other simulations.

A quick video on the @RISK Library:

» View short videos on recently added @RISK features

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