The cooperation between BI and system dynamics tools will progress with a framework that facilitates the model creation process and the integration of their respective elements. Oguz (2002), for example, proposes the concept of a “complex analytic layer” in addition to the “data warehouse layer” associated to BI applications. Such “complex layer” will contain two components: a model-based process application, oriented to a proactive data acquisition; and a model-based analysis/statistical analysis, oriented to run complex models, whether linear or nonlinear. This second component would be suitable to include system dynamics tools. Another way to improve the cooperation between BI and system dynamics tools is the definition of a common methodology to create and evaluate models that incorporate elements from both approaches. A starting point could be a methodology such as that proposed by the “Cross-Industry Standard Process for Data Mining” Consortium (2000), which has analogous elements with the generic methodology to create system dynamics models, as described by Sterman (2000).
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