@Risk

Print
@RISK (pronounced “at risk”) performs risk analysis using Monte Carlo simulation to show you many possible outcomes in your spreadsheet model—and tells you how likely they are to occur. It mathematically and objectively computes and tracks many different
_Risk__5200a1f18b547.png_Risk__5200a1f18b547.png
Description

The Future in
Your Spreadsheet

Wouldn’t you like to know the chances of making money – or taking a loss — on your next venture? Or the likelihood that your project will finish on time and within budget? How about the probabilities of finding oil or gas, and in what amounts?

Everyone would like answers to these types of questions. Armed with that kind of information, you could take a lot of guesswork out of big decisions and plan strategies with confidence. With @RISK, you can answer these questions and more – right in your Excel spreadsheet.

@RISK (pronounced “at risk”) performs risk analysis using Monte Carlo simulation to show you many possible outcomes in your spreadsheet model—and tells you how likely they are to occur. It mathematically and objectively computes and tracks many different possible future scenarios, then tells you the probabilities and risks associated with each different one. This means you can judge which risks to take and which ones to avoid, allowing for the best decision making under uncertainty.

@RISK also helps you plan the best risk management strategies through the integration of RISKOptimizer, which combines Monte Carlo simulation with the latest solving technology to optimize any spreadsheet with uncertain values.  Using genetic algorithms or OptQuest, along with @RISK functions, RISKOptimizer can determine the best allocation of resources, the optimal asset allocation, the most efficient schedule, and much more.

» @RISK in project management
» @RISK in Six Sigma


New in Version 6.1 – Compatibility with Office 2013, Multiple Language Support, and More

» Update Now

New @RISK version 6.1 is fully compatible 32- and 64-bit Excel and Office 2013, as well as Windows 8. It has now been fully translated into Spanish, Portuguese, French, German, Japanese, and Chinese, including all examples, tutorials, and help files.  Users can specify the language at install, and even change languages later -- all from the same installer.  This is a major benefit to multinational companies seeking to roll out a single risk analysis standard around the world.

In addition, @RISK 6.1 offers a new calculation engine for Microsoft Project schedules that simulates many times faster than before.  With the release of @RISK 6.0, Microsoft Project schedules were integrated in the @RISK for Excel platform, enabling you to perform risk analysis and Monte Carlo simulation on your schedules using the more flexible @RISK for Excel interface.  @RISK 6 also added easier-to-understand tornado charts to identify risk drivers, better graphing options, improved distribution fitting, and new distribution functions.  The Industrial edition introduced the faster OptQuest solving engine to RISKOptimizer, and added simulation of time-series forecasts.

I use the new @RISK and cannot speak highly enough about it.
Glenn Chisholm
Cisco

» Learn more about What’s New in @RISK 6

Integration with Microsoft Project
@RISK for Excel integrates with Microsoft Project, allowing you to perform all your risk modeling from the more flexible Excel environment. @RISK now imports your Project schedules into Excel so that you can use all of Excel’s formulas, and @RISK’s features, on your Project models. Excel becomes a front-end for your Microsoft Project schedule, linking directly to the underlying .MPP(X) file. Changes made in either Project or Excel are reflected in the other. When it’s time to run your Monte Carlo simulation, Microsoft Project’s scheduling engine is used for the calculations, ensuring accuracy.

» Learn more about @RISK for project management

Time Series Simulation
@RISK 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.

Manufacturer News

Manufacturer News

Support Center

For technical support email or call us on:

5 Best Sellers