Navigating the energy industry in today’s complex environment can be a significant challenge. Volatile international geopolitical environments, climate change, technological shifts, and regulatory pressures all bring new unknowns and risks that need to be accounted for to protect the bottom line and meet global energy needs.

With Monte Carlo simulation in @RISK and DecisionTools Suite, you can account for the unknown measures in your models to help make better, data-driven decisions that drive success in energy.

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 energy risk analysis for your organization.

We’ve collected @RISK and DecisionTools Suite users’ favorite resources on risk management in energy including how to forecast demand, measure the value of an exploration and production (E&P) project, and mitigate exposure to commodity price volatility – empowering you to plan strategically in the face of uncertainty.

Download our Next Steps for Data-Driven Decision Making in Energy for:

• Expert-led webinars on how to measure the value of an E&P project, explore energy cost behavior, and develop effective hedging strategies.
• Insights into how top energy companies and consultants use @RISK for energy trading and risk management.
• Downloadable risk management energy example models to serve as initial building blocks to help you get started fast.