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International Journal of Data Warehousing and Mining 9, 2 (2013) To appear

Fusion Cubes: Towards Self-Service Business Intelligence

Alberto Abello, Jérôme Darmont 1, Lorena Etcheverry, Matteo Golfarelli, Jose-norberto Mazón, Felix Naumann, Torben bach Pedersen, Stefano Rizzi, Juan Trujillo, Panos Vassiliadis, Gottfried Vossen

Dagstuhl Seminar 11361 Collaboration(s)

(2013)

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.

1 :	Equipe de Recherche en Ingénierie des Connaissances (ERIC)
	Université Lumière - Lyon II : EA3083

Domaine

:

Informatique/Base de données

Mots Clés : Metadata discovery – metadata quality – schema discovery – data integration – data warehouses – data cube – data fusion – business intelligence – ETL – open data

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Contributeur : Fabien Rico <>

Déposé pour le compte de : Jérôme DARMONT <>

Soumis le : Mercredi 18 Juillet 2012, 13:12:53

Dernière modification le : Lundi 10 Septembre 2012, 14:48:02