An architecture for ad-hoc and collaborative business intelligence

Authors:
Henrike Berthold;Philipp Rösch;Stefan Zöller;Felix Wortmann;Alessio Carenini;Stuart Campbell;Pascal Bisson;Frank Strohmaier
Affiliations:
SAP AG, Dresden, Germany;SAP AG, Dresden, Germany;IBIS Prof. Thome, Wuerzburg, Germany;University of St. Gallen, St. Gallen, Switzerland;CEFRIEL Milan, Italy;TIE Nederland B.V., Hoofddorp, Netherlands;Thales Group, Palaiseau Cedex, France;BASF SE, Ludwigshafen, Germany
Venue:
Proceedings of the 2010 EDBT/ICDT Workshops
Year:
2010

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Abstract

The success of organizations or business networks depends on fast and well-founded decisions taken by the relevant people in their specific area of responsibility. To enable timely and well-founded decisions, it is often necessary to perform ad-hoc analyses in a collaborative manner involving domain experts, line-of-business managers, key suppliers or customers. Current Business Intelligence (BI) solutions fail to meet the challenges of ad-hoc and collaborative decision support, slowing down and hurting organizations. The main goal of our envisioned system, which will be designed and implemented in a future research project, is to realize a highly scalable and flexible platform for collaborative, ad-hoc BI over large data sets. This will be achieved by developing methodologies, concepts and an infrastructure to enable an information self-service for business users and collaborative decision making over high-volume data sources within and across organizations.