Learn how using the Monte Carlo method in @RISK can improve your decision analysis and solve industry challenges in consumer goods, manufacturing, finance, insurance, and energy.
Making confident decisions in today’s complex, every-changing environment can pose a significant challenge, regardless of your industry. New unknown variables like unreliable supply chains, skilled labor shortages, extreme weather, and unstable currencies all need to be accounted for to keep business running smoothly.
With Monte Carlo simulation in @RISK and DecisionTools Suite, you can use risk analysis software to account for the unknown variables in your models and improve your decision analysis in:
- Consumer goods by managing supply chains, optimizing operations, improving equipment reliability – helping to minimize failure points and maximize the probability of deliveries.
- Finance and insurance by maximizing returns while minimizing risks for portfolio optimization, options and futures strategies, insurance pricing models – giving you a competitive advantage.
- Manufacturing by managing schedule risk and optimizing supply chains – improving your ability to meet deadlines and budgets.
- Energy by forecasting demand, measuring the value of an E&P project, and mitigating exposure to commodity price volatility – empowering your strategic planning in the face of uncertainty.
Whether you’re looking for a guided instruction video, inspiration from success stories, or an example model to get you started, we'll help you find the right next step towards using risk analysis for your organization.
We’ve collected @RISK and DecisionTools Suite users’ favorite decision analysis resources to answer your top questions in each industry such as:
- Why should I use @RISK?
- How do I use @RISK?
- Who has succeeded in using @RISK?
- Where do I start when building a model?
Explore your industry’s Next Step guide to learn how to discover new opportunities, present better plans, and move forward with confidence in your strategic decisions.
Next Steps for Data-Driven Decision Analysis Guides by Industry
|Finance & Insurance