University of Trento - Dipartimento di Ingegneria e Scienza dell'Informazione

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Publication Details
Author(s): Florian Daniel, Fabio Casati, Themis Palpanas, Oleksiy Chayka, Cinzia Cappiello
Title: Enabling Better Decisions through Quality-Aware Reports in Business Intelligence Applications
Reference: ICIQ'08, November 2008, Boston, Pages 310-324.
Abstract: Business Intelligence (BI) solutions commonly aim at assisting decision-making processes by providing a compre-hensive view over a company’s core business data and suitable abstractions thereof. Decision-making based on BI solutions therefore builds on the assumption that providing users with targeted, problem-specific fact data enables them to make informed and, hence, better decisions in their everyday businesses. In order to really provide users with all the necessary details to make informed decisions, we however believe that – in addition to conventional reports – it is essential to also provide users with information about the quality, i.e. with quality metadata, regarding the data from which reports are generated. Identifying a lack of support for quality metadata management in conventional BI solutions, in this paper we propose the idea of quality-aware reports and a possible architecture for quality-aware BI able to involve the users themselves into the quality metadata management process by soliciting and exploiting user feedback.
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