Expertise

Problem structuring. This ensures that it is the correct question that we are trying to answer and also provides a clear framework for the way forward. We devote sufficient time to find the real differentiators that affect decisions and try to find the means to reflect them in the decision.

Data analysis. Data is abundant, but it is not synonymous to information - not to mention useful information. Therefore using it effectively is a non-trivial part of contemporary decision making. Thus, apart from culling data, we also spend time to ascribe and embed your values. When a solution has been reached we will test the assumptions to make sure they transparently reflect these values.

Decision Conferencing. This is the part of the approach that enables decision makers to become owners of the model and the proposed solution. Critical issues are brought forward for discussion among the entirety of stakeholders, with a facilitator that enables the smoothness of the meeting and an analyst that models all the nuances. This structured debate helps the cross fertilization of ideas, while creating a level playing field in which opposing views can be considered in detail.