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International Conference on Business Information Systems

BIS 2020: Business Information Systems pp 379–390Cite as

Challenges of Data Management in Industry 4.0: A Single Case Study of the Material Retrieval Process

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 389))

Abstract

The trend towards industry 4.0 amplifies existing data management challenges and requires suitable data governance and data quality measures. Although these topics have been previously discussed in literature, companies are still struggling to cope with the resulting challenges and fully exploit the benefits of industry 4.0. In this paper, we conducted a single case study in an automotive company. We exemplary used the material retrieval process in automotive manufacturing to uncover what challenges there are hindering the utilization of industry 4.0. We were able to identify six major challenges in the domains of data quality and data governance.

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Author information

Authors and Affiliations

  1. TU Dortmund University, August-Schmidt-Strasse 4, 44227, Dortmund, Germany

    Antonello Amadori & Boris Otto

  2. Fraunhofer ISST, Emil-Figge-Strasse 91, 44227, Dortmund, Germany

    Marcel Altendeitering & Boris Otto

Authors
  1. Antonello Amadori
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  2. Marcel Altendeitering
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  3. Boris Otto
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Corresponding author

Correspondence to Marcel Altendeitering .

Editor information

Editors and Affiliations

  1. Poznań University of Economics and Business, Poznan, Poland

    Witold Abramowicz

  2. University of Colorado, Colorado Springs, CO, USA

    Gary Klein

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Amadori, A., Altendeitering, M., Otto, B. (2020). Challenges of Data Management in Industry 4.0: A Single Case Study of the Material Retrieval Process. In: Abramowicz, W., Klein, G. (eds) Business Information Systems. BIS 2020. Lecture Notes in Business Information Processing, vol 389. Springer, Cham. https://doi.org/10.1007/978-3-030-53337-3_28

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  • DOI: https://doi.org/10.1007/978-3-030-53337-3_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-53336-6

  • Online ISBN: 978-3-030-53337-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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