Reference Hub75
Fusion Cubes: Towards Self-Service Business Intelligence

Fusion Cubes: Towards Self-Service Business Intelligence

Alberto Abelló, Jérôme Darmont, Lorena Etcheverry, Matteo Golfarelli, Jose-Norberto Mazón, Felix Naumann, Torben Pedersen, Stefano Bach Rizzi, Juan Trujillo, Panos Vassiliadis, Gottfried Vossen
Copyright: © 2013 |Volume: 9 |Issue: 2 |Pages: 23
ISSN: 1548-3924|EISSN: 1548-3932|EISBN13: 9781466633087|DOI: 10.4018/jdwm.2013040104
Cite Article Cite Article

MLA

Abelló, Alberto, et al. "Fusion Cubes: Towards Self-Service Business Intelligence." IJDWM vol.9, no.2 2013: pp.66-88. http://doi.org/10.4018/jdwm.2013040104

APA

Abelló, A., Darmont, J., Etcheverry, L., Golfarelli, M., Mazón, J., Naumann, F., Pedersen, T., Rizzi, S. B., Trujillo, J., Vassiliadis, P., & Vossen, G. (2013). Fusion Cubes: Towards Self-Service Business Intelligence. International Journal of Data Warehousing and Mining (IJDWM), 9(2), 66-88. http://doi.org/10.4018/jdwm.2013040104

Chicago

Abelló, Alberto, et al. "Fusion Cubes: Towards Self-Service Business Intelligence," International Journal of Data Warehousing and Mining (IJDWM) 9, no.2: 66-88. http://doi.org/10.4018/jdwm.2013040104

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.