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New Approaches for Automated Process Model Discovery

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Business Modeling and Software Design (BMSD 2015)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 257))

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Abstract

The implementation of business processes through the use of information systems (ERP, CRM, PLM and MES) has become a key success factor for companies. For further development and optimization of processes, many companies havent trusted processes for the analysis. Surveying as-is processes is complex and only possible by manual recording. To perform this task automatically the theory shows us different approaches (process mining, Application Usage Mining and Web Usage Mining). The target of the concepts and tools is to complement the process of continuous improvement in the company with meaningful process models, which can be reconstructed from protocols and user actions in the information systems. This article focuses on the limitations of these concepts and the challenges they present and gives an outlook on how future solutions must work to speed up the process of continuous improvement and to meet the challenges of heterogeneity in IS-architectures.

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Authors and Affiliations

  1. Chair of Business Information Systems and Electronic Government, University of Potsdam, Potsdam, Germany

    Christian Glaschke & Norbert Gronau

Authors
  1. Christian Glaschke
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  2. Norbert Gronau
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Corresponding author

Correspondence to Christian Glaschke .

Editor information

Editors and Affiliations

  1. Interdisciplinary Inst. for Collab. &, Bulgarian Academy of Sciences - BAS &, Sofia, Bulgaria

    Boris Shishkov

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Glaschke, C., Gronau, N. (2016). New Approaches for Automated Process Model Discovery. In: Shishkov, B. (eds) Business Modeling and Software Design. BMSD 2015. Lecture Notes in Business Information Processing, vol 257. Springer, Cham. https://doi.org/10.1007/978-3-319-40512-4_2

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