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Polish Information Processing Society
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Annals of Computer Science and Information Systems, Volume 8

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems

Business Process Optimization with Big Data Analytics Under Consideration of Privacy

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DOI: http://dx.doi.org/10.15439/2016F542

Citation: Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 8, pages 11991204 ()

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Abstract. 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

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