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Developing an Assessment Model of System Solutions in Banking for a Leading Russian bank

Student: Valeriia Novitskaia

Supervisor: Tatiana Yakushkina

Faculty: Graduate School of Business

Educational Programme: Business Informatics (Master)

Final Grade: 9

Year of Graduation: 2019

Automated processes are an inevitable part of every company’s activity. However, converting business processes into system functionality has risks of implementing them inefficiently. The problem of system analysis implies difficulty to assess the ratio of benefits and costs that follow the implementation of system functionality. The relevance of this research derives from importance of system solutions for business. The main goal of this master’s degree statement is the development of an assessment model of system solutions in banking. In order to achieve this goal, the following tasks were set: overview of publications on the topic of refactoring, studying the platform Pega, giving description of SFA system in Alfa Bank, explaining two cases of refactoring, offering a model for refactoring assessment, and applying this model to two cases of refactoring. In the research such methods as analysis and generalization, descriptive and comparative methods are used, as well as one qualitative method for solving unstructured problems and one statistical method. The hypothesis at the beginning of the research is that having an assessment model helps avoid unnecessary and ineffective refactoring. In the final part the findings of the research are rendered and interpreted, recommendations how to use the model are given, and hypothesis is proven.

Full text (added May 19, 2019)

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