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Business process optimization with big data analytics under consideration of privacy

机译:考虑隐私的大数据分析业务流程优化

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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:供应链业务网络中的当代问题之一,同时也是一个巨大的机遇,是与那里大量数据相关的问题。数据可以由供应链中的决策支持系统使用;但是,通常存在信息隐私问题。云中的供应链将需要适当的管理,以支持大数据生态系统中存在的合作业务部门的隐私方面。在本文中,我们分析了在使用大数据分析生命周期的情况下,利用大数据技术支持供应链中隐私法规方面的业务流程优化的可能性。我们以物流业务流程为例介绍我们的方法。

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