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A model is a representation of the real world, a simplification, constructed in order to demonstrate, and understand, some of its properties. They can be used in exploratory terms and to convey complex concepts in a simple manner. Here we use a combination of techniques to understand drivers and relationships. The models may be descriptive, interpretative or forecasting models. Generally we produce a graphical representation of the model, as well as producing statistical measures. Each model is specific, and may be constructed from existing or especially collected data. They use dependencies and predictability relationships to understand markets or decisions, or attitudes. These can be useful in helping decision-makers visualize their areas of concern, and in deciding where to direct investment decisions.


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