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Conceptual Foundations for the Temporal Big Data Analytics (TBDA) Implementation Methodology in Organizations

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Towards Industry 4.0 — Current Challenges in Information Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 887))

Abstract

The main research goal of this chapter is to create conceptual foundations for the temporal big data (TBDA) implementation methodology. For this purpose, the conceptual research methodology has been used, encompassing such methods as critical analysis of literature, creative thinking, synthesis and analysis. Also, the results of previous research by the author have been used. In the chapter the most important challenges for the big data analytics are presented, the selected approaches for implementing BDA in organizations are discussed, the most important requirements for TBDA implementation methodology, elaborated by the author are pointed out. Finally, the comprehensive set of conceptual foundations for the successful TBDA implementation methodology is given.

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Author information

Authors and Affiliations

  1. University of Economics in Katowice, Katowice, Poland

    Maria Mach-Król

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  1. Maria Mach-Król
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Correspondence to Maria Mach-Król .

Editor information

Editors and Affiliations

  1. Department of Process Management, Center for Intelligent Management Systems, Wroclaw University of Economics and Business, Wrocław, Poland

    Marcin Hernes

  2. Department of Information Systems, Center for Intelligent Management Systems, Wroclaw University of Economics and Business, Wrocław, Poland

    Artur Rot

  3. Department of Business Informatics, Czestochowa University of Technology, Częstochowa, Poland

    Dorota Jelonek

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Mach-Król, M. (2020). Conceptual Foundations for the Temporal Big Data Analytics (TBDA) Implementation Methodology in Organizations. In: Hernes, M., Rot, A., Jelonek, D. (eds) Towards Industry 4.0 — Current Challenges in Information Systems. Studies in Computational Intelligence, vol 887. Springer, Cham. https://doi.org/10.1007/978-3-030-40417-8_14

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