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Data Science Applications in Museum Practice: Business Process Optimization

Student: Lada Kuzenkova

Supervisor: Tatiana Yakushkina

Faculty: Graduate School of Business

Educational Programme: Business Informatics (Bachelor)

Year of Graduation: 2020

Nowadays data analysis draws more attention to itself as a complex and useful tool for a variety of organizations and its needs. The scopes of application of this instrument ranges from small tasks to huge scientific projects. If an organization claims that it uses data analysis for some of its purposes, the image of this organization starts to become more progressive and more attractive as an object for investments. But it is not always necessary or even useful to use analytics. An organization needs to analyze itself first, and only then apply big data. It is a pretty much expensive tool to integrate in organizational ecosystem and its application doesn’t guarantee a success by existing itself. The aim of this research is to examine how data analysis can reform Russian museums’ business processes. The main methods of this work are data collection, comparative analysis, statistical analysis. The results of this work will prove or disapprove the main hypothesis of this paper: can data analysis be helpful for museums to contribute their performance, deliver a better service for their customers, modify human resources politics by using data output.

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