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Engineering Processes in the Implementation the Products of Big Data

Student: Badrtdinov Mansur

Supervisor: Boris Pozin

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Information Systems and Computer Networks (Master)

Year of Graduation: 2016

The dissertation is devoted to analysis and engineering with the introduction of products of Big Data business processes of companies. The object of research is the Big Data. The subject of research are the business processes of companies in course of implementation of Big Data products. The relevance of the research topic due to the large potential application products work with big data for engineering of business processes, which has a significant impact on their financial performance. The aim of the work is the analysis and engineering of business processes of the retail online store, through the use of products of Big Data. The work consists of three chapters. The first chapter describes the traditional approach to solving business problems, the benefits of using big data tools to address business challenges and processes that occur during large data. The second chapter is devoted to analysis of domestic and international experience in engineering processes in the implementation of big data technologies, as well as comparison and selection of the software to solve business problems increase profits online store. The third chapter is made solving business problems increase profits online store with the help of big data tools and held engineering process of formation of prices and sales process of goods. As a result of the work set of recommendations for the engineering of business processes in the implementation of Big Data products were offered.

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