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.
What everyone should know about risk assessment
What is the minimum amount of knowledge that professionals should have about risk assessment, given the vast size of this field? Risk affects reputations, safety, profitability ...
Estimating risk: the importance of scenario analysis
Learn the importance of scenario analysis in estimating risk. Discover strategies to improve risk assessment and decision-making with expert insights.
Improving your quantitative data with expert elicitation
Don’t have enough hard data to make a decision? Then have people vote on it. But not just any people – get the experts to vote on the matter and do it in a way that still allows ...
Strategic risk management
What lies behind those three words – Strategic Risk Management? It’s a question worth asking because a) SRM is a relatively new field, and b) there is still confusion between ...
The basics of risk analysis in the enterprise
Risky business – bad news? Not necessarily. While the word risk has a negative connotation for some, it’s a source of business opportunity for others. Good risk analysis ...
The role of sensitivity analysis in energy & environmental modeling
Energy and environmental models are often complex. Sensitivity analysis is a natural choice to improve understanding of such models and to see which input parameters have ...
Operational risk scenario analysis & the bullwhip effect
If you’ve ever experienced a small change at the retailing end of a supply chain that provokes massive turbulence upstream, there’s a good chance you’ve suffered the bullwhip ...
Some Analytica customers
