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International Conference on Business Process Management

BPM 2012: Business Process Management Workshops pp 162–173Cite as

End-to-End Process Extraction in Process Unaware Systems

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 132))

Abstract

Knowledge of current business processes is a critical requirement for organizational initiatives like compliance management, regulatory reporting, process optimization, reengineering the IT systems and outsourcing. Existing process discovery techniques expect process execution information or event logs while organization’s business processes are often executed on heterogeneous systems across different departments, by integration and data hand-offs between systems. Traditional information systems, however, are designed for storing and processing transaction data which persists in databases and other data storage mechanisms. In this paper we identify the challenges and propose a solution for extracting end-to-end processes from persistent process execution data available in multiple heterogeneous applications. The approach consists of analyzing persistent system data to identify and obtain events in a non-intrusive manner. The approach to get the end-to-end process involves a combination of data and process mining.

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Author information

Authors and Affiliations

  1. BPM Research Group, Infosys Labs, Infosys Limited, India

    Sukriti Goel

  2. Information Systems, Indian Institute of Management, Bangalore, India

    Jyoti M. Bhat

  3. Department of Computer Science, University of Innsbruck, Innsbruck, Austria

    Barbara Weber

Authors
  1. Sukriti Goel
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  2. Jyoti M. Bhat
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  3. Barbara Weber
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Editor information

Editors and Affiliations

  1. Queensland University of Technology, Brisbane, QLD, Australia

    Marcello La Rosa

  2. University of Haifa, Haifa, Israel

    Pnina Soffer

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Goel, S., Bhat, J.M., Weber, B. (2013). End-to-End Process Extraction in Process Unaware Systems. In: La Rosa, M., Soffer, P. (eds) Business Process Management Workshops. BPM 2012. Lecture Notes in Business Information Processing, vol 132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36285-9_17

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  • DOI: https://doi.org/10.1007/978-3-642-36285-9_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36284-2

  • Online ISBN: 978-3-642-36285-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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