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This work demonstrates a novel tool, inside the context of Business Process Management (BPM), for supporting management in decision making.

It explains how to develop a multidimensional data model (data cube) to support management with their efforts in understanding, planning and improving business processes.

In contrary to the traditional approach of defining a customized multidimensional data model for analyzing operational data, the proposed approach defines a standardized multidimensional data model for analyzing simulation data that can be applied to any business process model.

The proposed approach is novel and innovative, not only because of the mapping of business process data to a data cube, but also because, once the mapping has been completed, and facts have been generated via simulation, non-technical business analysts are able to have a completely new understanding of the dynamic behavior within organizations by using an extensive range of inquiries that are possible using standard data cube analysis interfaces.

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