Publications of Jérôme Darmont
A. Abello, J. Darmont, L. Etcheverry, M. Golfarelli, J.N. Mazon, F. Naumann, T.B. Pedersen, S. Rizzi, J. Trujillo, P. Vassiliadis, G. Vossen, "Fusion Cubes: Towards Self-Service Business Intelligence", International Journal of Data Warehousing and Mining, Vol. 9, No. 2, April-June 2013, 66-88.
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.
Metadata discovery, metadata quality, schema discovery, data integration, data warehouses, data cube, data fusion, business intelligence, ETL, open data
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