Modelling of the joint evolution of analysis needs and data warehouse

  • Authors

    • Brou Brou Assie Université Félix Houphouet Boigny
    • Louis Louis Seka Université Félix Houphouet Boigny
    • Jérôme Kablan Adou Université Félix Houphouet Boigny
    • Souleymane Oumtanaga Institut Polytechnique Houphouët Boigny
    2018-11-15
    https://doi.org/10.14419/ijet.v7i4.16949
  • Decision Support System, Evolution Model, Data Warehouse.

  • Abstract

    The decision support system, a set of data, is specifically organized, appropriate and accessible in decision-making. It stems from the data warehouse taking into account the users in this development. However, data warehouse is a complex technology in decision-making systems. Then, we highlight a new approach to the data warehouse model in this paper about the joint evolution of user and data warehouse needs. This model is based on rules combining R-DW (Data-based Data Warehouse) and MDA (Model Driven Architecture) models. As a result, this new approach makes it possible to integrate the knowledge of the users while favoring a temporal evolution of the possibilities of analysis.

     

     


  • References

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  • How to Cite

    Brou Assie, B., Louis Seka, L., Kablan Adou, J., & Oumtanaga, S. (2018). Modelling of the joint evolution of analysis needs and data warehouse. International Journal of Engineering & Technology, 7(4), 4425-4428. https://doi.org/10.14419/ijet.v7i4.16949

    Received date: 2018-08-06

    Accepted date: 2018-12-18

    Published date: 2018-11-15