Announcing The DecisionTools Suite 6
Upgrade to 6.0 Now
Palisade Corporation

Dear Decision Maker,

Palisade is pleased to announce the release of new version 6.0 of @RISK and the DecisionTools Suite!  @RISK 6.0 for Excel now also integrates with Microsoft Project, as well as includes easier-to-understand graphs, new time-series modeling, better distribution fitting, and more.  RISKOptimizer and Evolver have been enhanced with the new OptQuest solving engine, improving speed and accuracy on many types of models.  PrecisionTree now includes Bayesian revision and greatly improved tree editing.  StatTools and NeuralTools offer new types of analyses.  There is something for everyone in the new DecisionTools Suite!

@RISK 6.0 offers improved graphing, easier-to-understand tornado charts, integration with Project schedules, and more.

@RISK 6.0 offers improved graphing, easier-to-understand tornado charts, integration with Project schedules, and more.

What’s New in @RISK 6.0

View the entire list of new features in @RISK 6.0

Integration with Microsoft Project for project risk modeling
@RISK is now a truly cross-platform tool, enabling risk modeling of your Microsoft Project schedules using the same @RISK you use for modeling in Excel. You can now do your project risk modeling in Excel rather than Microsoft Project, providing a new world of flexibility. A new interface layer reproduces your schedule in Excel, enabling you to use all Excel formulas and @RISK functions. Build risk registers in Excel for your Project model using new “RiskProject” functions. Integrate your cost and schedule analyses. Standardize on a single tool - @RISK – to meet the needs of your project managers, cost estimators, finance analysts. Plus, a single interface means a shorter learning curve for everybody.

Improved graphing
A new “double-sided” tornado graph shows an input’s positive and negative impact on actual output values – information very valuable to managers, and much easier to understand than statistical coefficients.
@RISK now allows you to display detailed statistics and simulation data in the same window as simulation results graphs. This simplifies your analysis by eliminating the need to open multiple windows.
New spider graphs display the change in a given output’s mean (or whatever statistic you specify) across a range of values for all the various inputs. It’s a very intuitive new view on sensitivity analysis – great for reports and presentations.

The new double-sided tornado graphs displays how much the value of your output (in this case NPV) changed as each input was varied during simulation.

The new double-sided tornado graphs displays how much the value of your output (in this case NPV) changed as each input was varied during simulation.

Better distribution fitting
@RISK now offers integrated bootstrapping to estimate confidence intervals for fitted parameters. This automated process greatly saves you time and gives you more confidence in your fits. There are new goodness-of-fit measures as well. You can also hold certain parameters fixed during fits, and fit data sizes up to 10 million values (increased from 100,000). Furthermore, @RISK now offers batch fitting for fitting batches of data sets. There’s even a correlation matrix feature built in to batch fitting.

Time-series modeling
@RISK now offers a new set of functions for simulating time series processes, or values that change over time. Any future projection of time series values has inherent uncertainty, and @RISK now lets you account for that uncertainty by looking at the whole range of possible time series projections in your model. This is particularly useful in financial modeling and portfolio simulation.

Time series functions in @RISK allow you to accurately capture the uncertainty inherent in any time series projection.
Time series functions in @RISK allow you to accurately capture the uncertainty inherent in any time series projection.

Converter for Crystal Ball models
An automatic converter has been added to @RISK that lets you open and run risk models created in Crystal Ball, enabling you to use your old Crystal Ball models without wasting time.

RISKOptimizer OptQuest solving engine
OptQuest is a widely used state of the art optimizer, and is now available with RISKOptimizer and Evolver in addition to the existing genetic algorithms. The OptQuest engine integrates Tabu Search, Neural Networks, Scatter Search, and Linear/Integer Programming into a single composite method. It provides great results – and quickly – on many types of models.

Tighter integration of RISKOptimizer with @RISK
RISKOptimizer now has the ability to share simulation settings with @RISK, saving redundant entry. All RISKOptimizer commands are now available directly from the @RISK ribbon. Plus, all @RISK reports, graphs and features are available to analyze RISKOptimizer’s best solution.
Palisade Corporation

View the entire list of new features in @RISK 6.0

Palisade Corporation

What’s New in DecisionTools Suite 6.0

Bayesian revision in PrecisionTree
PrecisionTree now allows you to “flip” one or more chance nodes in a model in order to show probabilities calculated using Bayes’ Rule. This is valuable when the probabilities of a model are not available in a directly useful form.


Bayesian revision in PrecisionTree lets you view probabilities in a more useful form.

Improved tree editing in PrecisionTree
The new Append Subtree command will allow you to quickly build large trees, saving a lot of time.  A new Insert Node function lets you easily put a new node in between existing nodes in a much simpler way involving fewer steps than before.  You can also right-click any node to copy a subtree image to paste into Word, PowerPoint, or other reports.

New linear programming in Evolver
This makes the optimization of linear models very fast, and also ensures that the solution found is the best possible solution. Plus, Evolver can automatically detect which solving method is best – linear programming, OptQuest, or genetic algorithms – to use on your model.

Testing Sensitivity Analysis in NeuralTools
This new analysis helps determine if testing results are reliable given the amount of data that has been set aside for testing. It can also answer the question whether changing the size of the testing subset will increase the reliability of the results.

Scatter plot improvements in StatTools
StatTools now includes a matrix that lets you view multiple scatter plots between variables in a single report. This consolidates data, saving a lot time.  You can also choose to select categorical variables to color your data points, identifying which category the points fall into.

Palisade Corporation
View the entire list of new features in DecisionTools Suite 6.0

Palisade Corporation

Upgrade Today

Download your free upgrade now if you have current maintenance.

If you do not have a current maintenance plan, contact me for special upgrade pricing if you have an old copy of software, or for a quote on purchasing new licenses. 

Sincerely,

Dave Bristol
Regional Sales Manager

Palisade Corporation

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