188/4 E-Commerce Group
Institute of Software Technology and Interactive Systems
Vienna University of Technology
Favoritenstrasse 9-11/188, A-1040 Vienna, Austria

Big Data Management and Analysis for Business Informatics

Authors: 
S. Marchand-Maillet, B. Hofreiter
Publisher: 
Enterprise Modelling and Information Systems Architectures (EMISA), Volume 9-1
Proceedings: 
Pages: 
90 - 105
Year: 
2014
Type: 
Journal article
Hidden Keywords: 
Department Focus: 
Business Informatics
TU Focus: 
Information and Communication Technology
ISBN: 
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, 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.
Abstract German: