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Market Engineering pp 221–239Cite as

Data Analytics for Smart Decision-Making and Resilient Systems

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Abstract

In a networked world, companies depend on fast and smart decisions, especially when it comes to reacting to external change. With the wealth of data available today, smart decisions can increasingly be based on data analysis and be supported by IT systems that leverage AI. A global pandemic brings external change to an unprecedented level of unpredictability and severity of impact. Resilience therefore becomes an essential factor in most decisions when aiming at making and keeping them smart. In this chapter, we study the characteristics of resilient systems and test them with four use cases in a wide-ranging set of application areas. In all use cases, we highlight how AI can be used for data analysis to make smart decisions and contribute to the resilience of systems.

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Author information

Authors and Affiliations

  1. SAP SE, Walldorf, Germany

    Benjamin Blau

  2. ESB Business School at Reutlingen University, Reutlingen, Germany

    Clemens van Dinther

  3. Universität Würzburg, Würzburg, Germany

    Christoph M. Flath

  4. anacision GmbH, Karlsruhe, Germany

    Rico Knapper

  5. Conemis AG, Karlsruhe, Germany

    Daniel Rolli

Authors
  1. Benjamin Blau
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  2. Clemens van Dinther
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  3. Christoph M. Flath
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  4. Rico Knapper
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  5. Daniel Rolli
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Corresponding author

Correspondence to Clemens van Dinther .

Editor information

Editors and Affiliations

  1. University of Hohenheim, Stuttgart, Germany

    Prof. Dr. Henner Gimpel

  2. University of Passau, Passau, Germany

    Prof. Dr. Jan Krämer

  3. University of Freiburg, Freiburg im Breisgau, Germany

    Prof. Dr. Dirk Neumann

  4. University of Giessen, Giessen, Germany

    Prof. Dr. Jella Pfeiffer

  5. University of Bayreuth, Bayreuth, Germany

    Prof. Dr. Stefan Seifert

  6. Technical University of Berlin, Berlin, Germany

    Prof. Dr. Timm Teubner

  7. University of Augsburg, Augsburg, Germany

    Prof. Dr. Daniel J. Veit

  8. University of Freiburg, Freiburg im Breisgau, Germany

    Prof. Dr. Anke Weidlich

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Blau, B., Dinther, C.v., Flath, C.M., Knapper, R., Rolli, D. (2021). Data Analytics for Smart Decision-Making and Resilient Systems. In: , et al. Market Engineering . Springer, Cham. https://doi.org/10.1007/978-3-030-66661-3_13

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  • DOI: https://doi.org/10.1007/978-3-030-66661-3_13

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