商业信息学中的大数据管理与分析——综述

S. Marchand-Maillet, B. Hofreiter
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引用次数: 3

摘要

现代通信网络推动了大量数据的产生,这些数据可能被视为商业活动的相关信息。在本文中,我们回顾了支持和授权业务活动的技术,利用这些大数据的内容。我们区分了与数据相关的技术和与用户相关的技术,并研究了这些类别重叠所带来的并行性。我们展示了大数据趋势如何与数据安全和用户隐私相关。然后,我们研究为商业智能执行数据分析的自动化方法。最后,我们回顾了用户群体如何通过人类计算或众包的概念,与信任和声誉的概念相关联,被视为商业中的劳动力。最后,我们讨论了该领域的新兴趋势。
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Big Data Management and Analysis for Business Informatics - A Survey
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.
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