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Business Intelligence 2.0: A General Overview

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Book cover Business Intelligence (eBISS 2011)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 96))

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Summary

Business Intelligence (BI) solutions allow decision makers to query, understand, and analyze business data in order to make better decisions. However, as the technology and society evolve, faster and better informed decisions are required. Nowadays, it is not enough to use only the information from the own organization and making isolated decisions, but rather requiring also to include information present in the web like opinions or information about competitors, while using collective intelligence, collaborating through social networks, and supporting the BI system with cloud computing. In response to this situation, a vision of a new generation of BI, BI 2.0, based on the evolution of the web and the emerging technologies, arises. However, researchers differ in their vision of this BI evolution. In this paper, we provide an overview of the aspects proposed to be included in BI 2.0. We describe which success factors and technologies have motivated each aspect. Finally, we review how tool developers are including these new features in the next generation of BI solutions.

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Author information

Authors and Affiliations

  1. Lucentia Research Group Department of Software and Computing Systems, University of Alicante, Spain

    Juan Trujillo & Alejandro Maté

Authors
  1. Juan Trujillo
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  2. Alejandro Maté
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Editor information

Editors and Affiliations

  1. MAS Laboratory, Ecole Centrale Paris, 92 295, Châtenay-Malabry Cedex, France

    Marie-Aude Aufaure

  2. Department of Computer & Decision Engineering (CoDE) CP 165/15, Universite Libre de Bruxelles, 1050, Brussels, Belgium

    Esteban Zimányi

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Trujillo, J., Maté, A. (2012). Business Intelligence 2.0: A General Overview. In: Aufaure, MA., Zimányi, E. (eds) Business Intelligence. eBISS 2011. Lecture Notes in Business Information Processing, vol 96. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27358-2_5

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  • DOI: https://doi.org/10.1007/978-3-642-27358-2_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27357-5

  • Online ISBN: 978-3-642-27358-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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