Who Uses This Software?

@RISK is used to analyze risk and uncertainty in a wide variety of industries. From the financial to the scientific, anyone who faces uncertainty in their quantitative analyses can benefit from @RISK.


Average Ratings

1 Review
  • 5 / 5
    Overall
  • 5 / 5
    Ease of Use
  • 5 / 5
    Customer Service

Product Details

  • Deployment
    Installed - Windows
  • Training
    Documentation
    Webinars
    Live Online
    In Person
  • Support
    Online
    Business Hours

Vendor Details

  • Palisade
  • www.palisade.com
  • Founded 1984
  • United States

About @RISK

@RISK performs risk analysis using Monte Carlo simulation to show you many possible outcomes in your spreadsheet model and how likely each 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 Features

  • Compliance Management
  • Credit Risk Management
  • Liquidity Analysis
  • Loan Portfolio Management
  • Market Risk Management
  • Operational Risk Management
  • Portfolio Management
  • Portfolio Modeling
  • Risk Analytics Benchmarks
  • Stress Tests
  • Value At Risk Calculation

@RISK Reviews Recently Reviewed!

Using Monte Carlo Simulation

Apr 12, 2017
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
Likelihood to Recommend: 10.0/10 Not
Likely
Extremely
Likely

Pros: Two things: documentation and the easiness to do networking which is very important for anybody who is interested on working in the area.

Cons: Would like to see more practical examples of BIG projects but I suppose many of them are property of the company that developed them.

Overall: Monte Carlo simulation is a very useful tool that allows the user to incorporate variability to what otherwise would be a simple spreadsheet model that uses average values. It is possible that if you use average values a project you are analysing will be profitable according to your analysis. When you incorporate variability while the expected profit is positive, can find that there is a high probability of the profit being really a loss.

@risk is a software you can use to create this type of models. It is basically an Excel add-in that will allow you to transform your Excel model into a much more versatile one. When you run your model you obtain not only a point estimate but can look the spread of the estimates. Can also identify which input variables are critical and you can also do some sensitivity analysis to look into the potential effect of one or more of the inputs changing (for example, what could happen if interest rates change).

The software is easy to use and it has an excellent manual as well as excellent online support. The company also organises on a regular basis very interesting conferences where case studies are presented by companies and these conferences are an opportunity to meet like minded people.
I have been using the software mostly for teaching but past students are using them at their workplace with great success.

Recommendations to other buyers: The software comes with other decision making tools such as Decision Trees and Basic Statistical analysis (Neural Networks as well - but I've never used this).

Vendor Response

by Palisade on April 14, 2017

Thank you, Alicia, for taking the time to write this glowing review of our software! We are so appreciative of customers, like yourself, that spread the word about @RISK and Monte Carlo simulation. Your description of Monte Carlo simulation is perfect and helps to demystify it for those that aren't familiar with why Monte Carlo simulation can often times be a better option. We have over 80,000 students a year using our software, some of which are probably your students! These students will typically enter the workforce being able to make better decisions using @RISK and Monte Carlo simulation. Thank you, again, for your kind words and for being one of our valued users! Warm regards, Michelle Jackson @RISK Product Manager mjackson@palisade.com