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Data Analytics Challenges in Industry 4.0: A Case-Based Approach

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On the Move to Meaningful Internet Systems. OTM 2018 Conferences (OTM 2018)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11230))

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Abstract

Creating business value with data analytics is a continuous process that requires to effectively consider the design and deployment of powerful analytics solutions. This requires a significant effort in understanding, customizing, assembling and adapting these solutions to the specific environment. However, this might be different from one context to another. The objective of this paper is to discuss the use of data analytics in Industry 4.0 by harvesting some challenges and lessons-learnt. A case-based approach is followed, as a research methodology to explore and understand complex and common issues related to data analytics. Scalability, interoperability and standardization are among the topics that are reviewed.

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Notes

  1. 1.

    www.qlik.com.

  2. 2.

    www.powerbi.microsoft.com.

  3. 3.

    www.grafana.com.

  4. 4.

    http://dmg.org/pmml/v4-3/GeneralStructure.html.

  5. 5.

    https://opcfoundation.org/about/opc-technologies.

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Acknowledgment

This work has been conducted in the context of the CoBALab project (Collaborative Business Analytics Laboratory), financed by the National Research Fund (FNR) of the Grand Duchy of Luxembourg (FNR). It involves the initiation of a joint laboratory between the Luxembourg Institute for Science and Technology (LIST) and the Business Analytics research centre at the National University of Singapore (NUS). It focuses on research activities in key areas, such as Industry 4.0, with the aim of achieving research with impact within the Business Analytics domain.

The second author has contributed to this work in the context of the PLATINE project (PLAnning Transformation Interoperability in Networked Enterprises), financed by the national fund of research of the Grand Duchy of Luxembourg (FNR), under the grant C14/IS/8329172.

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Authors and Affiliations

  1. Department of IT for Innovative Services (ITIS), Luxembourg Institute of Science and Technology (LIST), 5, Avenue des Hauts-Fourneaux, 4362, Esch-sur-Alzette, Luxembourg

    Manel Brichni & Wided Guedria

Authors
  1. Manel Brichni
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  2. Wided Guedria
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Corresponding author

Correspondence to Manel Brichni .

Editor information

Editors and Affiliations

  1. CNRS, University of Lorraine, Vandoeuvre-les-Nancy, France

    Hervé Panetto

  2. Trinity College Dublin, Dublin, Ireland

    Christophe Debruyne

  3. Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg

    Henderik A. Proper

  4. Università degli Studi di Milano, Crema, Italy

    Claudio Agostino Ardagna

  5. SINTEF and University of Oslo, Oslo, Norway

    Dumitru Roman

  6. TU Graz, Graz, Austria

    Robert Meersman

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Brichni, M., Guedria, W. (2018). Data Analytics Challenges in Industry 4.0: A Case-Based Approach. In: Panetto, H., Debruyne, C., Proper, H., Ardagna, C., Roman, D., Meersman, R. (eds) On the Move to Meaningful Internet Systems. OTM 2018 Conferences. OTM 2018. Lecture Notes in Computer Science(), vol 11230. Springer, Cham. https://doi.org/10.1007/978-3-030-02671-4_12

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  • DOI: https://doi.org/10.1007/978-3-030-02671-4_12

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