The DecisionTools Suite includes the following tools:
@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 spreadsheet—and tells you how likely they are to occur. This means you can judge which risks to take and which ones to avoid.
PrecisionTree® for decision analysis with
decision trees and influence diagrams.
PrecisionTree performs decision analysis in Microsoft Excel using decision trees and influence diagrams. Decision trees let you visually map out complex, multi-layered decisions in a sequential, organized manner. This helps you identify all possible alternatives and choose the best option.
TopRank® for automated “what if” sensitivity analysis.
TopRank performs automated “what if” sensitivity analysis on Microsoft Excel spreadsheets. You can define any output or “bottom line” cell or cells, and TopRank will automatically find and vary all input cells which affect your output. The end result is identification and ranking of all input factors which affect your bottom line.
NeuralTools® for predictive analysis using
intelligent neural networks.
NeuralTools performs predictions in Microsoft Excel using sophisticated neural networks. NeuralTools imitates brain functions to “learn” patterns in your known data, and uses those patterns to make predictions from new, incomplete data. In addition, NeuralTools can automatically update predictions live when input data changes, saving time and enabling more robust analyses.
StatTools® for forecasting and
advanced statistical analysis.
StatTools performs forecasting and statistical analysis in Microsoft Excel. It actually replaces Excel’s built-in statistics functions with its own, more robust and accurate functions. StatTools covers the most common statistical analyses, and even allows you to build your own custom statistical procedures.
Evolver™ for sophisticated optimization.
Evolver performs optimization in Microsoft Excel using genetic algorithms, linear programming, or the OptQuest solving methods. It is equally suited to finding the best solution to linear problems large and small, or to finding the best overall global solution to nonlinear, complex problems where other solvers fail. Evolver constantly tries new, different solutions to arrive at the best answer possible.
RISKOptimizer® combines optimization and Monte Carlo simulation for optimization under uncertainty.
RISKOptimizer uses genetic algorithms or OptQuest methods, along with Monte Carlo simulation, to solve optimization problems under uncertainty. Take any optimization problem and replace uncertain values with @RISK functions that represent ranges of possible values. RISKOptimizer will try different combinations of adjustable cells to achieve the goal you define, while running Monte Carlo simulations on each trial solution to account for inherent uncertainty. The result is the most robust, accurate solution possible.
@RISK simulations are calculated 100% within Excel, supported by Palisade sampling and statistics proven in over twenty years of use. Palisade does not attempt to rewrite Excel in an external recalculator to gain speed. A single recalculation from an unsupported or poorly reproduced macro or function can dramatically change your results. Where will it occur, and when? Palisade harnesses the power of multiple CPUs and multi-core processors to give you the fastest calculations. Correct results—and fast—using @RISK and the DecisionTools Suite!
NOTE: For more information about this product, please take a look to the PDF of DecisionTools Suite Brochure.