Tools and Services
Modelling
KCJ-Modelling provides clients with a comprehensive framework to illustrate the complexities of their decision-making environment. Our in-house expertise allows us to model any given decision-making scenario as a conceptual, graphical and / or mathematical representation in order to present multi-layered dimensions in a condensed format.
Simulation
KCJ-Simulation is a powerful methodology with which to better understand potential outcomes, taking into account multifaceted issues and challenges. The provision of certain key characteristics within a selected decision-making system enables KCJ-Simulation to generate a sample of representative scenarios for the respective decision-making situation.
Status-Tracking
KCJ conducts an Ex-Post Analysis to filter out the cardinal points, milestones and key developments which have led to the current situation. Crucial questions are addressed.
As a result the Decision-Driving Factors (DDF-Criteria) are derived. The DDF-Criteria enables KCJ to identify the strengths, weaknesses, opportunities and threats in regards to the assignment.
Monitoring (incl. Benchmarking)
KCJ manages a complex monitoring system, which is designed to detect relevant changes within the decision-making environment. A well-organized early warning component is an integral part of any monitoring system striving to identify threats and opportunities in their initial stages. It allows the identification of significant developments that may impact the clients' interests.
Sustainability Management
Decisions must be based on definitive targets and objectives, necessitate sufficient knowledge and require determination and resolve. Just as important, however, is the aspect of sustainability. A long-term sustainability calculation must take into account how the decision can be “managed" in the broadest sense of the word after the decision has been implemented.
Decision-Making Optimization
Decision-making optimization is largely a qualitative approach to decision-making. It attempts to identify optimal or near-optimal solutions to decision-making challenges. The result is not only an improvement in the quality of decision-making, but also the ability to make them more quickly, to assign (organizational) resources more effectively and to adapt them when necessary.
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