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New DecisionTools Suite 5.5.1 The DecisionTools Suite is an integrated set of programs for risk analysis and decision making under uncertainty that run in Microsoft Excel. The DecisionTools Suite 5.5.1 includes new versions of @RISK for Monte Carlo simulation, PrecisionTree for decision trees, and TopRank for what if sensitivity analysis. In addition, the DecisionTools Suite comes with new versions of StatTools for statistical analysis and forecasting, NeuralTools for predictive neural networks, and Evolver and RISKOptimizer for optimization. All programs work together better than ever before, and all integrate completely with Microsoft Excel for ease of use and maximum flexibility.
All products in the DecisionTools Suite have been fully translated into Spanish, German, French, Portuguese and Japanese. All dialogs, menus, documentation, examples and tutorials have been carefully translated, making the DecisionTools Suite more accessible to decision makers around the world.
@RISK 5.5.1 for Excel runs simulations 2 to 20 times faster than version 5.0! It also includes a wide range of new features to improve your analysis, save time, and encourage systematic adoption of risk analysis across your organization.
@RISK for risk analysis using Monte Carlo simulation
@RISK performs risk analysis using Monte Carlo simulation to show you many possible outcomes in your Microsoft Excel spreadsheetР“С“Р’в„–and tells you how likely they are to occur. This means you can judge which risks to take and which ones to avoid.
Greater Than the Sum of its Parts Each component of the DecisionTools Suite can perform a powerful analysis. When you combine these products, you can achieve more complete results than any single program can provide.
@RISK and TopRank The focus of an @RISK analysis can be narrowed using TopRank. Especially with large models, this saves time and improves accuracy of your @RISK analysis. @RISK functions can also be used by TopRank to represent a wider range of values than TopRanks standard functions.
Watch how @RISK and TopRank work together
@RISK and PrecisionTree In addition, @RISK can be combined with PrecisionTree to represent uncertain chance events and payoffs in decision tree models. This enhances the accuracy of decision tree models by considering wider ranges of values for chance events instead of a few limited, discrete options.
Watch how @RISK and PrecisionTree work together
@RISK then StatTools @RISK results can be run through a StatTools analysis to assess confidence intervals. @RISK can also be applied to results from a StatTools time-series forecast to simulate possible outcomes with more precision.