S. Marchand-Maillet, B. Hofreiter:
"Big Data Management and Analysis for Business Informatics";
Enterprise Modelling and Information Systems Architectures (EMISA),
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, lerveraging 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 crowd sourcing, associated with the notions of trust and reputation. We conclude by discussing emerging trends in the domain.
Big data, Business intelligence, Business informatics, security, privacy, data mining
Erstellt aus der Publikationsdatenbank der Technischen Universitšt Wien.