Version 7 - DecisionTool Suite
The DecisionTools Suite is an integrated set of programs for risk analysis and decision making under uncertainty. No matter what industry you're in, the DecisionTools Suite can help you make decisions with confidence. Take guesswork out of big decisions, and plan strategies with confidence. With the DecisionTools Suite, you can assess risk and optimize decisions – right in your Excel spreadsheet.
The DecisionTools Suite is an integrated set of programs for risk analysis and decision making under uncertainty. DecisionTools Suite software integrates seamlessly with Microsoft Excel, and includes:
- @RISK for Monte Carlo simulation+
- PrecisionTree for decision trees
- TopRank for “what if” sensitivity analysis
- StatTools for statistical analysis & forecasting
- NeuralTools for predictive neural networks
- Evolver for sophisticated optimization
- RISKOptimizer for Monte Carlo simulation & optimization
The DecisionTools Suite enables endless applications, including these:
- Cash Flow & Financial Analysis
- Multi-stage Decision Modeling
- Portfolio Optimization & Resource Allocation
- Enterprise Risk Management
Explore examples and tutorials on how to make The DecisionTools Suite work best for you.
@RISK performs risk analysis using Monte Carlo simulation to show you many possible outcomes in your Microsoft Excel spreadsheet—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 TopRank’s standard functions.
@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.
@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 forecast to simulate possible outcomes with more precision.