Advanced Risk Analysis for Project Management
@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!
The power of Monte Carlo simulation lies in the picture of possible outcomes it creates. Simply by running a simulation, @RISK for Project takes your project model from representing just one possible outcome to representing thousands. With @RISK for Project, you can answer questions like, “What is the probability of completing this milestone on time and under budget?” or “What are the chances that this project phase will be completed by this day?”
Define Uncertainty with Ease
Replace uncertain values in your spreadsheet with @RISK probability distribution functions.
You've probably heard of some of these, such as normal ("bell curve"), uniform, and
triangular distributions. Choosing which @RISK distribution function to use is easy.
@RISK for Project comes with a distribution viewer that lets you preview various
distributions before selecting them. You can also use your own historical data and
@RISK for Project’s integrated data fitting tool to select the best function
and the right parameters.
Present Results with Stunning Graphs
@RISK for Project provides a wide range of graphs for interpreting and presenting your
results to others. The @RISK Gantt Chart lets you see simulation results directly
in Project’s native Gantt Chart. Histograms and cumulative curves show the
probability of different outcomes occurring. Use overlay and summary graphs for more
advanced comparisons. Right-click menus and handy toolbars make navigation a snap.
You can also generate a one-page, ready-to-print Quick Report of statistical results
and graphs!
Identify the Most Important Tasks
@RISK for Project provides you with Sensitivity and Scenario Analyses to determine
the critical factors in your models. Use Sensitivity Analysis to rank the uncertain
factors in your model according to the impact they have on your outputs. See the
results clearly with an easy-to-interpret Tornado diagram, then take appropriate
management action.
Conditional Modeling and Contingency Planning
The Professional version of @RISK for Project includes a set of branching features
that enable you to build in contingency plans if certain events occur. Account for
chance events in your model with ease.
Two Editions to Meet Your Needs
 |
@RISK Standard
for Project |
@RISK Professional
for Project |
| 37 Built-in Distribution Functions |
x
|
x
|
| Integrated Distribution Viewer |
x
|
x
|
| Risk Categories |
x
|
x
|
| "Vary” Function |
x
|
x
|
| Correlation of Inputs |
x
|
x
|
| Sensitivity & Scenario Analysis |
x
|
x
|
| Variety of Result Graphs and Charts |
x
|
x
|
| Risk Results in Gantt Chart |
x
|
x
|
| VBA Macro Support |
x
|
x
|
| Integrated Data Fitting |
x
|
|
| Probabilistic Branching |
x
|
|
| IF/THEN Conditional Branching |
x
|
|
| Probabilistic Calendars |
x
|
|
| Global Variables |
x
|
|
| Parameter Entry Tables |
x
|
PMI Approved
PMI
recommends Monte Carlo simulation software tools such as @RISK for Project for
quantitative risk analysis. Palisade Corporation is a PMI Registered Education
Provider, so Project Management Professionals who attend Palisade training seminars
can earn valuable Professional Development Units.
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