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Advanced Business Simulations

Incorporating Business and Process Execution Data

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Business Modeling and Software Design (BMSD 2014)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 220))

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Abstract

Key Performance Indicators (KPIs) and their predictions are widely used by the enterprises for informed decision making. Nevertheless, a very important factor, which is generally overlooked, is that the top level strategic KPIs are actually driven by the operational level business processes. These two domains are, however, mostly segregated and analysed in silos with different Business Intelligence solutions. In this paper, we are proposing an approach for advanced Business Simulations, which converges the two domains by utilising process execution&business data, and concepts from Business Dynamics (BD) and Business Ontologies, to promote better system understanding and detailed KPI predictions. Our approach incorporates the automated creation of Causal Loop Diagrams, thus empowering the analyst to critically examine the complex dependencies hidden in the massive amounts of available enterprise data. We have further evaluated our proposed approach in the context of a retail use-case that involved verification of the automatically generated causal models by a domain expert.

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Correspondence to Marc Drobek .

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Drobek, M., Gilani, W., Redlich, D., Molka, T., Soban, D. (2015). Advanced Business Simulations. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2014. Lecture Notes in Business Information Processing, vol 220. Springer, Cham. https://doi.org/10.1007/978-3-319-20052-1_7

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  • DOI: https://doi.org/10.1007/978-3-319-20052-1_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20051-4

  • Online ISBN: 978-3-319-20052-1

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