De la business intelligence interne vers la business intelligence dans le cloud : modèles et apports méthodologiques

Abstract : BI and cloud computing are two major areas of computer science research and in particular in information system. A research combining these two concepts has a double interest : On the one hand, in business, the BI becomes increasingly an important part of the information system which requires investment in terms of computing performance and data volumes. On the other hand, cloud computing offers new opportunities to manage data for analysis.Given the possibilities of cloud, migration question of the information system including BI is of great interest. In particular, researchers must provide models and methods to help professional in BI migration to the cloud.The research question is : how to migrate BI to the cloud?In this thesis, we address this issue using design science research approach. We implement a decision-making help for BI migration to the cloud based on taxonomies. We provide an operational guidance model that is instantiated by a BI taxonomy in the cloud and from that rules for BI migration to the cloud are arised.
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Odette Sangupamba Mwilu. De la business intelligence interne vers la business intelligence dans le cloud : modèles et apports méthodologiques. Web. Conservatoire national des arts et metiers - CNAM, 2018. Français. ⟨NNT : 2018CNAM1168⟩. ⟨tel-01793649⟩

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