@RISK
Predictive analytics software
Statistical analysis software
IT risk management software
Risk assessment software
Risk management software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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$2,900.00 per license
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What is @RISK
@RISK is a risk analysis add-in for Microsoft Excel that uses Monte Carlo simulation to quantify uncertainty in spreadsheet models. It is used by analysts in finance, project management, engineering, and operations to evaluate probability distributions, sensitivity, and scenario outcomes. The product focuses on integrating probabilistic modeling directly into Excel workflows, with tools for defining input distributions, running simulations, and reporting results.
Excel-native Monte Carlo modeling
@RISK runs as an Excel add-in, which lets teams apply probabilistic risk analysis without moving models into a separate analytics platform. This supports reuse of existing spreadsheet-based financial and operational models. It also reduces friction for business users who already rely on Excel for decision support.
Distribution and simulation toolkit
The product provides a library of probability distributions and functions to represent uncertain inputs in a model. It supports Monte Carlo simulation runs and produces outputs such as percentiles, confidence intervals, and probability-of-exceedance views. These capabilities align well with quantitative risk assessment use cases where uncertainty needs to be explicitly modeled.
Sensitivity and reporting outputs
@RISK includes sensitivity analysis outputs (e.g., identifying which inputs drive variance in results) to help prioritize risk drivers. It generates charts and summary reports that can be embedded into Excel-based deliverables. This is useful for communicating risk results to stakeholders who expect spreadsheet artifacts rather than BI dashboards.
Limited beyond Excel scale
Because it is Excel-centric, model size and simulation performance can be constrained by spreadsheet limits and desktop compute resources. Very large datasets, complex pipelines, or enterprise-scale analytics workloads typically require database- or cloud-native tooling. This can make it less suitable for organization-wide analytics standardization compared with platform-based approaches.
Collaboration and governance gaps
Spreadsheet-based risk models can be difficult to govern, version, and audit across teams without additional controls. While outputs can be shared, multi-user collaboration, lineage, and centralized model management are not the core focus of an Excel add-in. Organizations with strict model risk management requirements may need complementary governance processes or systems.
Narrower BI and data integration
@RISK focuses on simulation and risk quantification rather than broad BI, semantic modeling, or large-scale data integration. Connecting to diverse enterprise data sources and building interactive dashboards is typically handled by separate analytics tools. Users may need additional products to cover end-to-end data preparation, visualization, and distribution.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Professional | Part of price range $2,900.00 – $3,500.00 (specific edition price not individually listed on product page) | Monte Carlo simulation in Excel for individual analysts and consultants; distribution fitting, sensitivity analysis, presentation-quality graphs; aimed at individual/small-scale models. |
| Industrial | Part of price range $2,900.00 – $3,500.00 (specific edition price not individually listed on product page) | High-speed simulations for large datasets; includes RISKOptimizer for optimization, budgeting and resource allocation; designed for teams and large organizations. |
Seller details
Palisade Corporation
Ithaca, New York, USA
1984
Private
https://www.palisade.com/
https://x.com/palisadecorp
https://www.linkedin.com/company/palisade-corporation/
