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dc.contributor.authorMarchand-Maillet, Stéphane
dc.contributor.authorHofreiter, Birgit
dc.date.accessioned2017-08-28T11:56:34Z
dc.date.available2017-08-28T11:56:34Z
dc.date.issued2014
dc.identifier.issn1866-3621
dc.description.abstractModern communication networks have fueled the creation of massive volumes of data that may be valued as relevant information for business activities. In this paper, we review technologies for enabling and empowering business activities, leveraging the content of this big data. We distinguish between data- and user-related technologies, and study the parallel brought by the overlap of these categories. We show how the trend of Big Data is related to data security and user privacy. We then investigate automated ways of performing data analysis for Business Intelligence. We finally review how groups of users may be seen as a workforce in business through the notion of human computation or crowdsourcing, associated with the notions of trust and reputation. We conclude by discussing emerging trends in the domain.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofEnterprise Modelling and Information Systems Architectures - An International Journal: Vol. 9, Nr. 1
dc.titleBig Data Management and Analysis for Business Informatics - A Surveyen
dc.typeText/Journal Article
dc.pubPlaceBerlin
mci.reference.pages90-105
mci.conference.sessiontitleSpecial Issue on A Roadmap for Business Informatics
dc.identifier.doi10.18417/emisa.9.1.6


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