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Risk & uncertainty

From its inception, Analytica was designed to analyze risk and uncertainty — unlike spreadsheet applications which require special add-ins. Analytica’s fully integrated features for sensitivity analysis, scenario analysis and Monte Carlo simulation make it remarkably simple to treat risk and uncertainty in your models. Here are some examples of how organizations are using these methods.

Social influences in modeling energy decarbonization

Discover how blending social dynamics with energy models revolutionizes climate policy, offering sustainable, culturally-informed solutions.

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US gas leaks much larger than previously estimated

A new Stanford-led study on natural gas leak rates from oil and gas activity across a large fraction of the US are about 3x more than previous government estimates. The...

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AI weekly updates with Lonnie Chrisman

Stay updated with the latest in artificial intelligence through Lonnie Chrisman's AI Weekly Updates by following us on social. Discover insights, trends, and developments in AI, brought to you by an expert in the field.

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The value of knowing how little you know

Understand the Expected Value of Including Uncertainty (EVIU), compare with the Expected Value of Perfect Information (EVPI), and the insights it gives into a variety of problems.

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Analysis for finance & decision professionals

Watch Dan Zoppo's webinar on the powerful Least Squares Monte Carlo method for real options problems that can add value to a businesses.

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Using Analytica to model farm financial risk

Analytica provides the perfect platform for Agricultural Economists to explore the tradeoff between risk and profit at the farm level.

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How utilities are reducing risks & saving money

Learn about the Risk Spend Efficiency (RSE) framework, how California utilities have been using it, and RSE within ANAGRAM (Analytica for Natural Gas Risk Analysis and Management).

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Quantifying methane emissions

Aerial surveys found that a small number of high-impact super-emitting events are responsible for most methane emissions, which were significantly higher than previously estimated.

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Risk & uncertainty clients