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Discover the power of Palisade's DecisionTools Suite

Palisade Corporation is the maker of the market leading risk and decision analysis software @RISK and the DecisionTools® Suite.

Virtually all Palisade software adds in to Microsoft Excel, ensuring flexibility and ease-of-use across a wide range of industry sectors. @RISK, debuted in 1987 and performs risk analysis using Monte Carlo simulation.

Download Crystal Ball, @RISK, ModelRisk and ProModel Software, Example Models and White-Papers
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@RISK & DecisionTools Suite For Excel

Palisade DecisionTools SuiteThe DecisionTools Suite - Professional Edition is a complete risk analysis for Excel that includes decision tree analysis and advanced statistical tools. The DecisionTools Suite - Professional Edition is also much faster due to @RISK Accelerator. This means you can judge which  risks to take and which ones to avoid, allowing for the best decision making under uncertainty. With @RISK, you can answer questions like, “What is the probability of profit exceeding $10 million?” or “What are the chances of losing money on this venture?”


Browse and buy Analystics Software online.

@RISK for Project Shows You Many Possible Outcomes

@RISK for Project uses Monte Carlo simulation to show you many possible outcomes in your project – and tells you how likely they are to occur. This means that you finally have, if not perfect information, the most complete picture possible. You can determine which tasks are most important and then manage those risks appropriately. While no software package can predict the future, @RISK for Project can help you choose the best strategy based on the available information. That’s not a bad guarantee!


Browse and buy Analystics Software online.

@RISK & DecisionTools Suite User Guides

Looking for answers about @RISK or its companion tools? Than look no further. You will find the complete list of user guides in the section below.

You can also download the complete list of white papers and @RISK software in our Downloads Section


 TitleCategoryDescription 
Palisade Risk Optimizer User GuidePalisade User GuidePalisade Risk Optimizer User GuideDownload
Palisade PrecisionTree User GuidePalisade User GuidePalisade PrecisionTree User GuideDownload
Palisade StatsTools User GuidePalisade User GuidePalisade StatsTools User GuideDownload
UserGuides  Download
Palisade TopRank User GuidePalisade User GuidePalisade TopRank User GuideDownload
Palisade @RISK User GuidePalisade User GuidePalisade @RISK User GuideDownload
Palisade @Risk for 6Sigma User GuidePalisade User GuidePalisade @Risk for 6Sigma User GuideDownload
Palisade Decision Tools BrochurePalisade User GuidePalisade Decision Tools BrochureDownload
Palisade Neural Tools User GuidePalisade User GuidePalisade Neural Tools User GuideDownload
Palisade Evolver User GuidePalisade User GuidePalisade Evolver User GuideDownload

Risk Analysis & @RISK  White Papers

Please find a collection of useful and important whitepapers on various topics surrounding risk analysis. You can download the complete list of white papers and @RISK software in our Downloads Section

 TitleDescription 
Unknown Unknowns in Project Probabilistic Cost and Schedule Risk Models Practitioners recognise a requirement to consider unknown unknowns in project risk management. Same time, clear and consistent recommendations on incorporating of unknown unknowns into risk models have yet to be proposed. Download
Using Decision Analysis to Explore Cable Television Delivery This paper demonstrates the efficacy of decision analysis using PrecisionTree in determining the most efficient strategy for installing cable television in the residence halls of Bucknell University.Download
Using Simulation to Support The Reinsurance Decision of a Medical Stop-Loss Provider This article illustrates how simulation modeling can be employed to support the reinsurance decision of a medical insurer. We do this in the context of a simplified but realistic example, where a medical insurer is evaluating a request for proposal.Download
Monte Carlo Simulation for Schedule Risks This paper discussed the development of a probabilistic model to assist in estimating lower and upper duration estimates required in the preparation of a schedule risk analysis using Monte Carlo simulation. The model was tested in 14 projects.Download
Project Cost Risk Analysis: The Risk Driver Approach Prioritizing Project Risks and Evaluating Risk Responses This presentation outlines limitations of the traditional three-point estimate approach to quantitative risk analysis. The authors introduce the Risk Driver method to cost risk analysis in projects. Download
Risk Analysis and ContingencyAuthors: Dr. Kenneth K. Humphreys, PE CCE; AACE International Recommended Practice No. 41R-08, June 25, 2008Download
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