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Shaping the Next Incarnation of Business Intelligence

Author

Listed:
  • Henning Baars
  • Carsten Felden
  • Peter Gluchowski
  • Andreas Hilbert
  • Hans-Georg Kemper
  • Sebastian Olbrich

Abstract

The body of knowledge generated by Business Intelligence (BI) research is constantly extended by a stream of heterogeneous technological and organizational innovations. This paper shows how these can be bundled to a new vision for BI that is aligned with new requirements coming from socio-technical macro trends. The building blocks of the vision come from five research strings that have been extracted from an extensive literature review: BI and Business Process Management, BI across enterprise borders, new approaches of dealing with unstructured data, agile and user-driven BI, and new concepts for BI governance. The macro trend of the diffusion of cyber-physical systems is used to illustrate the argumentation. The realization of this vision comes with an array of open research questions and requires the coordination of research initiatives from a variety of disciplines. Due to the embedded nature of the addressed topics within general research areas of the Information Systems (IS) discipline and the linking pins that come with the underlying Dynamic Capabilities Approach such research provides a contribution to IS. Copyright Springer Fachmedien Wiesbaden 2014

Suggested Citation

  • Henning Baars & Carsten Felden & Peter Gluchowski & Andreas Hilbert & Hans-Georg Kemper & Sebastian Olbrich, 2014. "Shaping the Next Incarnation of Business Intelligence," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(1), pages 11-16, February.
    • Handle: RePEc:spr:binfse:v:6:y:2014:i:1:p:11-16
    DOI: 10.1007/s12599-013-0307-z
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    References listed on IDEAS

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    1. Peter Loos & Jens Lechtenbörger & Gottfried Vossen & Alexander Zeier & Jens Krüger & Jürgen Müller & Wolfgang Lehner & Donald Kossmann & Benjamin Fabian & Oliver Günther & Robert Winter, 2011. "In-memory Databases in Business Information Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 3(6), pages 389-395, December.
    2. Kathleen M. Eisenhardt & Jeffrey A. Martin, 2000. "Dynamic capabilities: what are they?," Strategic Management Journal, Wiley Blackwell, vol. 21(10‐11), pages 1105-1121, October.
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    Cited by:

    1. Tobias Knabke & Sebastian Olbrich, 2018. "Building novel capabilities to enable business intelligence agility: results from a quantitative study," Information Systems and e-Business Management, Springer, vol. 16(3), pages 493-546, August.

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