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.
An interesting Christmas gift
Over the holidays, the New York Times delivered an unusual juxtaposition of headlines and content, and apparent lack of self-awareness, to illicit such a hearty chuckle from...
Climate change effects & econometric electricity demand forecasting
Whether you find global warming as an ethereal notion only worthy of banter or, like many scientists, a real phenomenon to be studied, the effects pose difficulty for...
Electricity price forecasting via time-series, regression & nearest neighbor models
Flip the switch and the light goes on. How simple it is to take this for granted. Large-scale engineered and networked systems manage our daily electrical needs, and many...
Risk analysis methods from probability, clustering, to multi-attribute utility theory
Machine failure, patient injury, terrorist attacks, and oil spills are just a few events we endure and have to prepare for in life. It is hard to manage things that are not ...
Some Analytica customers
