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Analytics in Industry 4.0: Investigating the Challenges of Unstructured Data

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Perspectives in Business Informatics Research (BIR 2022)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 462))

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Abstract

Data analysis is becoming increasingly important to pursue organizational goals, especially in the context of Industry 4.0, where a wide variety of data is available. Here numerous challenges arise, especially when using unstructured data. However, this subject has not been focused by research so far. This research paper addresses this gap, which is interesting for science and practice as well. In a study three major challenges of using unstructured data has been identified: analytical know-how, data issues, variety. Additionally, measures how to improve the analysis of unstructured data in the industry 4.0 context are described. Therefore, the paper provides empirical insights about challenges and potential measures when analyzing unstructured data. The findings are presented in a framework, too. Hence, next steps of the research project and future research points become apparent.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science - HHZ,, Reutlingen University, Alteburgstraße 150, 72762, Reutlingen, Germany

    Michael Möhring

  2. School of Computer Science and Mathematics, Munich University of Applied Science, Lothstr. 35, 80335, Munich, Germany

    Rainer Schmidt

  3. DHBW Stuttgart, Business Information Systems, Cooperative State University Baden-Wuerttemberg, Paulinenstr. 50, 70178, Stuttgart, Germany

    Barbara Keller, Fabian Schönitz, Frederik Mohr & Max Scheuerle

Authors
  1. Michael Möhring
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  2. Barbara Keller
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  3. Rainer Schmidt
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  4. Fabian Schönitz
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  5. Frederik Mohr
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  6. Max Scheuerle
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Corresponding author

Correspondence to Michael Möhring .

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Editors and Affiliations

  1. Riga Technical University, Riga, Latvia

    Ērika Nazaruka

  2. Rostock University, Rostock, Germany

    Kurt Sandkuhl

  3. Jönköping University, Jönköping, Sweden

    Ulf Seigerroth

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Möhring, M., Keller, B., Schmidt, R., Schönitz, F., Mohr, F., Scheuerle, M. (2022). Analytics in Industry 4.0: Investigating the Challenges of Unstructured Data. In: Nazaruka, Ē., Sandkuhl, K., Seigerroth, U. (eds) Perspectives in Business Informatics Research. BIR 2022. Lecture Notes in Business Information Processing, vol 462. Springer, Cham. https://doi.org/10.1007/978-3-031-16947-2_8

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  • DOI: https://doi.org/10.1007/978-3-031-16947-2_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-16946-5

  • Online ISBN: 978-3-031-16947-2

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