Big Data Management and Analysis for Business Informatics - A Survey
| dc.contributor.author | Marchand-Maillet, Stéphane | |
| dc.contributor.author | Hofreiter, Birgit | |
| dc.date.accessioned | 2017-08-28T11:56:34Z | |
| dc.date.available | 2017-08-28T11:56:34Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | Modern 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.identifier.doi | 10.18417/emisa.9.1.6 | |
| dc.identifier.pissn | 1866-3621 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Enterprise Modelling and Information Systems Architectures - An International Journal: Vol. 9, Nr. 1 | |
| dc.title | Big Data Management and Analysis for Business Informatics - A Survey | en |
| dc.type | Text/Journal Article | |
| gi.citation.endPage | 105 | |
| gi.citation.publisherPlace | Berlin | |
| gi.citation.startPage | 90 | |
| gi.conference.sessiontitle | Special Issue on A Roadmap for Business Informatics |
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