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Detecting, Assessing, and Mitigating Data Inaccuracy-Related Risks in Business Processes

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Business Process Management Workshops (BPM 2014)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 202))

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Abstract

Business process activities and their outcomes rely on data that is commonly stored in databases. If the stored data is not accurate, namely, it does not reflect the relevant real world values, the process execution might be disrupted and the process might not be able to reach its goal. Detection of such cases and analysis of their causes may help redesign processes to reduce the potential risks. In this research, we aim to develop a semi-automated method that will enable detection, assessment, and mitigation of risks related to data inaccuracy in business processes. The method will be built on and evaluated with real cases from the industry.

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Acknowledgment

This research is partially supported by the Israel Science Foundation under grant 856/13.

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Authors and Affiliations

  1. University of Haifa, Carmel Mountain, 31905, Haifa, Israel

    Arava Tsoury, Soffer Pnina & Iris Reinhartz-Berger

Authors
  1. Arava Tsoury
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  2. Soffer Pnina
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  3. Iris Reinhartz-Berger
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Corresponding author

Correspondence to Arava Tsoury .

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Editors and Affiliations

  1. IBM Research – Haifa, Haifa, Israel

    Fabiana Fournier

  2. Vienna University of Economics and Business, Vienna, Austria

    Jan Mendling

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Tsoury, A., Pnina, S., Reinhartz-Berger, I. (2015). Detecting, Assessing, and Mitigating Data Inaccuracy-Related Risks in Business Processes. In: Fournier, F., Mendling, J. (eds) Business Process Management Workshops. BPM 2014. Lecture Notes in Business Information Processing, vol 202. Springer, Cham. https://doi.org/10.1007/978-3-319-15895-2_47

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  • DOI: https://doi.org/10.1007/978-3-319-15895-2_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15894-5

  • Online ISBN: 978-3-319-15895-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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