Towards next generation BI systems : the analytical metadata challenge
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hdl:2117/24622
Document typeConference report
Defense date2014
PublisherSpringer
Rights accessRestricted access - publisher's policy
Abstract
Next generation Business Intelligence (BI) systems require integration of heterogeneous data sources and a strong user-centric orientation. Both needs entail machine-processable metadata to enable automation and allow end users to gain access to relevant data for their decision making processes. Although evidently needed, there is no clear picture about the necessary metadata artifacts, especially considering user support requirements. Therefore, we propose a comprehensive metadata framework to support the user assistance activities and their automation in the context of next generation BI systems. This framework is based on the findings of a survey of current user-centric approaches mainly focusing on query recommendation assistance. Finally, we discuss the benefits of the framework and present the plans for future work.
CitationVarga, J. [et al.]. Towards next generation BI systems : the analytical metadata challenge. A: International Conference on Data Warehousing and Knowledge Discovery. "Data Warehousing and Knowledge Discovery : 16th International Conference, DaWaK 2014, Munich, Germany, September 2-4, 2014 : Proceedings". Munich: Springer, 2014, p. 89-101.
ISBN978-331910159-0
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