@RISK

@RISK is a risk management software that, according to the vendor, utilizes Monte Carlo simulation to analyze and model risks. It seamlessly integrates with Microsoft Excel, making it suitable for organizations of all sizes, from small businesses to large enterprises. Professionals and industries in financial services, energy and utilities, manufacturing, construction and engineering, as well as aerospace and defense, reportedly rely on @RISK to make informed decisions and manage risks effectively.

Key Features

Monte Carlo Simulation: @RISK reportedly uses Monte Carlo simulation to calculate and track various possible future scenarios in a risk model. It aims to show the probability of each scenario occurring, allowing users to assess the likelihood of different outcomes.

100% Excel Integration: @RISK integrates with Microsoft Excel, utilizing its function set and ribbon. This integration allows users to work in a familiar environment and, according to the vendor, trust the results generated by @RISK.

Sensitivity Analysis: @RISK reportedly identifies and ranks the most important factors driving risks in a model. This analysis aims to help users allocate resources and plan strategies accordingly.

Graphs and Reports: @RISK reportedly offers customizable and exportable graphing and reporting options. According to the vendor, users can communicate risk to stakeholders through visually appealing and informative graphs and reports.

Extensive Modeling Features: @RISK reportedly provides a broad library of probability distributions, data fitting tools, and correlation modeling. This, according to the vendor, allows users to represent any scenario in any industry with a high level of accuracy.

100% Excel calculations for simulation: @RISK reportedly maximizes the use of multi-core processors for speed and accuracy. The vendor claims that all calculations for simulation are performed within Excel, ensuring a high level of accuracy.

Modeling: @RISK reportedly enables users to model risk factors and simulate their impact on outcomes. Users can create complex models that capture the uncertainties and interdependencies of various factors, according to the vendor.

Simulation: @RISK reportedly performs Monte Carlo simulation by sampling different possible inputs. It aims to calculate thousands of possible future outcomes and their probabilities.

Simulation Results: @RISK reportedly provides comprehensive results of the Monte Carlo simulation. Users can analyze the distribution of outcomes and understand the range of possibilities, according to the vendor.