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.
The future of electricity in the US Pacific Northwest
See how the region plans to meet its aggressive carbon emission targets while ensuring that utilities can provide economic and reliable power.
Flood risk management in Ho Chi Minh city
After a devastating flood in Ho Chi Minh City, the World Bank used Analytica to develop a robust strategy to help the city manage and reduce risks of future flooding.
Earthquake insurance: cost-effective modeling
An analysis of earthquake scenarios and insurance rates helped a San Francisco county optimize insurance premiums and move toward a long-term risk management strategy.
Integrated assessment of climate change
The Integrated Climate Assessment Model (ICAM) has generated a wide range of valuable insights into how to adapt to global climate change.
Pi Day comparison: Monte Carlo vs Latin hypercube vs Sobol sampling
This blog will be visiting the dart-throwing method of estimating Ï€ and comparing how fast or slow different sampling techniques converge to the actual value of Ï€. The sampling techniques…
Some Analytica customers
