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Application of Process Mining Technology to Optimize the Banking Sector

Student: Chaban Kseniia

Supervisor: Alexey Dorofeev

Faculty: Graduate School of Business

Educational Programme: Business Informatics (Master)

Year of Graduation: 2021

Final qualification work "Application of Process Mining technology to optimize the processes of the banking sector" consists of an introduction, three chapters, a conclusion and an appendix. In the introduction, the relevance of the chosen topic is substantiated, the goal is formulated, the object, subject and hypotheses of the research are determined, the tasks are set, the means and tools used are listed, the planned results are recorded. The first chapter describes the Process Mining methodology: the criteria and stages of its application are determined, the technology methods are systematized, and an algorithm for the application of machine learning is presented. The chapter "Implementation of Process Mining in Production" describes practical cases of technology implementation at various enterprises, as well as a detailed description of the lending process, the optimization of which is described in Chapter 3. In the final part, the practical implementation of the implementation of Process Mining is presented: graphs of the process of checking potential credit borrowers for solvency are built and analyzed, the time of its execution is calculated, and an optimization option is proposed. In the conclusion, the results of the application of the Process Mining methodology are presented, as well as recommendations for its implementation are given. The final qualifying work is set out on 49 pages, contains 19 figures, 14 tables, 1 appendix. The list of sources used includes 34 titles of works by domestic and foreign authors.

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