Business Intelligence (BI) solutions commonly aim at assisting decision-making processes by providing arncomprehensive view over a company's core business data and suitable abstractions thereof. Decision-making basedrnon BI solutions therefore builds on the assumption that providing users with targeted, problem-specific fact datarnenables them to make informed and, hence, better decisions in their everyday businesses. In order to really providernusers with all the necessary details to make informed decisions, we however believe that – in addition to conventionalrnreports – it is essential to also provide users with information about the quality, I.e. With quality metadata,rnregarding the data from which reports are generated. Identifying a lack of support for quality metadata managementrnin conventional BI solutions, in this paper we propose the idea of quality-aware reports and a possible architecturernfor quality-aware BI able to involve the users themselves into the quality metadata management process by solicitingrnand exploiting user feedback.
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