Palisade @RISK Integration

Document created by Susan Read-Miller Employee on Nov 26, 2018Last modified by Susan Read-Miller Employee on Feb 25, 2019
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Palisade @RISK is a leading risk and decision analysis software that runs in Microsoft Excel and uses Monte Carlo simulation to allow you to see possible outcomes for a risk and the likelihood of occurrence. The Monte Carlo method takes randomly sampled input data and runs a risk analysis simulation hundreds or thousands of times in order to give you a probability distribution of all possible outcomes.


The integration with RSA Archer’s Enterprise and Operational Risk Management Solution extends out of the box risk assessment techniques to include monte carlo simulation based on loss events and expert elicitation.


Integration Features

Palisade @RISK integration with RSA Archer enables organizations to:

  • Perform Risk Register record risk assessments using Monte Carlo simulation.
  • Capture loss events and expert elicitation in Archer and pass to @Risk for monte carlo simulations
  • Graphically depict loss distribution histograms
  • Generate estimates of Value at Risk at 95% and 99% confidence intervals
  • Capture Monte Carlo values, including VaRs, in RSA Archer Risk Registers


Solution and Platform Information

  • Solution Area: Enterprise & Operational Risk Management
  • Impacted Use Cases:  RSA Archer Operational Risk Management.
  • Supported Platform Version: This offering has been validated on RSA Archer Platform release 6.3.


For More Information

To learn more about the Palisade @Risk RSA Ready certified integration, please review the Implementation Guide.  Note that the integration uses an enhanced version of the RSA Archer Operational Risk Management use case.  To download this package, view the RSA Archer 6.2 Operational Risk Management with Monte Carlo Use Case Package.


For Additional Support

To learn more about Palisade @RISK, please contact or call +1.607.277.8000. For technical support questions, please contact or call +1.607.277.8000.