@RISK is advanced software for probabilistic risk analysis that integrates seamlessly with Microsoft Excel. Using Monte Carlo simulation, it models various outcomes and their probabilities, enabling users to make confident decisions under uncertainty. Ideal for finance, engineering, and beyond, it helps identify risks and opportunities in complex scenarios.
@RISK is an Excel-integrated tool for Monte Carlo simulation, ideal for financial analysts, project managers, and risk assessors. It offers features like distribution fitting, goal seek, sensitivity analyses, and customizable reporting. Pricing starts at $1,232/yr (3-year subscription), making it more cost-effective for advanced users over time.
Compared to alternatives like Tableau or Crystal Ball, @RISK excels in probabilistic risk analysis but lacks speed for large datasets. Python or R can outperform in such cases. Customer support is reliable but occasionally slow. Its value lies in ease of integration with Excel, making it accessible for users without programming expertise, but heavy users may miss standalone functionality or advanced visuals.