The Preference metoders for operational risk analysis, risk quantification, and evaluation of mitigation strategies

  • Project risk evaluation
  • Opportunity risk evaluation
  • Assess risk costs in relation to existing business KPIs
  • Identify most efficient mitigation plans
  • Identify critical risk factors
  • Frame the risk by thresholds

Our methods of using risk analysis for decision analysis is unique in the sense that they do not require unrealistic precision of the input data, information with high precision can be treated in the same model that information with less precision. Preference applies both formal computable methods and conducting more qualitative studies to analyze and identify the risks associated with different activities. We have a direct or indirect risk analyzes performed for many large organizations, both in order to be included as a component of decision analysis or independent risk analysis. In some cases, the risk analysis part of a decision analytic process of decision under risk where it is important to avoid unwanted risks. In other cases it is desirable to obtain a risk assessment made in the context of a situation analysis, i.e. there are uncertainties surrounding a business which you would like more information regarding the ways in which they can have a negative impact on the business. In some cases, the risk is measured by a weighing of consequences and probabilities, in other cases only with regard to the consequences. It is therefore important to structure and design their risk analysis based on current conditions.

  • Our tools and methods allow for interval valued estimates of probabilities, risks, and consequence values
  • Our tools and methods allow for rankings of likelihoods, consequences, and objective importance as well as identifying the best option
  • State-of-the-art algorithms for aggregating and evaluating a large number of risks