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Business Intelligence Indicators: Types, Models and Implementation

Author

Listed:
  • Sandro Bimonte

    (IRSTEA, Aubière, France)

  • Michel Schneider

    (University of Clermont-Ferrand, Aubière, France)

  • Omar Boussaid

    (ERIC Laboratory, University of Lyon 2, Lyon, France)

Abstract

Nowadays, more and more data are available for decisional analysis and decision-making based on different indicators. Although different decision-making technologies have been developed, the authors note the lack of a conceptual framework for the definition and implementation of these indicators. In this paper, they propose a first classification of these indicators. Furthermore, motivated by the need for formalism for the definition of these indicators at a conceptual level, they present the Business Intelligence Indicators (BI2) UML profile to represent indicators for OLAP, OLTP and streaming technologies. They also present their implementation in existing industrial tools. In addition, they show how these indicators can coexist in the same environment to exchange data through a chaining model and its implementation.

Suggested Citation

  • Sandro Bimonte & Michel Schneider & Omar Boussaid, 2016. "Business Intelligence Indicators: Types, Models and Implementation," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 12(4), pages 75-98, October.
    • Handle: RePEc:igg:jdwm00:v:12:y:2016:i:4:p:75-98
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