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Fusion Cubes: Towards Self-Service Business Intelligence

Author

Listed:
  • Alberto Abelló

    (School of Informatics, Universitat Politècnica de Catalunya, Barcelona, Spain)

  • Jérôme Darmont

    (Université de Lyon (Laboratoire ERIC), Lyon, France)

  • Lorena Etcheverry

    (Computer Science Institute, Universidad de la Republica, Montevideo, Uruguay)

  • Matteo Golfarelli

    (DISI – Department of Computer Science and Engineering, University of Bologna, Bologna, Italy)

  • Jose-Norberto Mazón

    (Department of Software and Computing Systems, Universitat d’Alicante, Alicante, Spain)

  • Felix Naumann

    (Department of Information Systems, Hasso Plattner Institute, Potsdam, Germany)

  • Torben Pedersen

    (Department of Computer Science, Aalborg University, Aalborg, Denmark)

  • Stefano Bach Rizzi

    (Department of Computer Science and Engineering, Università di Bologna, Bologna, Italy)

  • Juan Trujillo

    (Department of Information Systems and Languages, Universitat d’Alicante, Alicante, Spain)

  • Panos Vassiliadis

    (Department of Computer Science, University of Ioannina, Ioannina, Greece)

  • Gottfried Vossen

    (Department of Information Systems, Universität Münster, Münster, Germany)

Abstract

Self-service business intelligence is about enabling non-expert users to make well-informed decisions by enriching the decision process with situational data, i.e., data that have a narrow focus on a specific business problem and, typically, a short lifespan for a small group of users. Often, these data are not owned and controlled by the decision maker; their search, extraction, integration, and storage for reuse or sharing should be accomplished by decision makers without any intervention by designers or programmers. The goal of this paper is to present the framework we envision to support self-service business intelligence and the related research challenges; the underlying core idea is the notion of fusion cubes, i.e., multidimensional cubes that can be dynamically extended both in their schema and their instances, and in which situational data and metadata are associated with quality and provenance annotations.

Suggested Citation

  • Alberto Abelló & Jérôme Darmont & Lorena Etcheverry & Matteo Golfarelli & Jose-Norberto Mazón & Felix Naumann & Torben Pedersen & Stefano Bach Rizzi & Juan Trujillo & Panos Vassiliadis & Gottfried Vos, 2013. "Fusion Cubes: Towards Self-Service Business Intelligence," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 9(2), pages 66-88, April.
    • Handle: RePEc:igg:jdwm00:v:9:y:2013:i:2:p:66-88
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    Citations

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    Cited by:

    1. Malu Castellanos & Florian Daniel & Irene Garrigós & Jose-Norberto Mazón, 2013. "Business Intelligence and the Web," Information Systems Frontiers, Springer, vol. 15(3), pages 307-309, July.
    2. Paul Alpar & Michael Schulz, 2016. "Self-Service Business Intelligence," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 58(2), pages 151-155, April.
    3. Jens Passlick & Lukas Grützner & Michael Schulz & Michael H. Breitner, 2023. "Self-service business intelligence and analytics application scenarios: A taxonomy for differentiation," Information Systems and e-Business Management, Springer, vol. 21(1), pages 159-191, March.

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