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Business process optimization with big data analytics under consideration of privacy

机译:在思考隐私期间与大数据分析的业务流程优化

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One of the contemporary problems, and at the same time a big opportunity, in business networks of supply chains are the issues associated with the vast amounts of data arising there. The data may be utilized by the decision support systems in supply chains; nevertheless, often there are information privacy problems. The supply chains in cloud will need appropriate administration for support of privacy aspects of cooperating business units existing in big data ecosystems. In this paper we analyze the possibility of utilizing the big data technology for supporting business processes optimization with respect of the privacy regulations in supply chains under the usage of the big data analytics lifecycle. We present our approach on an example of a business process in logistics.
机译:其中一个当代问题,同时在供应链的商业网络中同时是与在那里产生的大量数据相关的问题。数据可以通过供应链中的决策支持系统使用数据;尽管如此,通常存在信息隐私问题。云中的供应链将需要适当的政府支持在大数据生态系统中存在的合作业务单位的隐私方面。在本文中,我们分析了利用大数据技术支持业务流程的大数据技术,在大数据分析生命周期的使用情况下提供了供应链中的隐私法规。我们在物流业务流程的示例上介绍了我们的方法。

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