Interactive System for the Automated Risk Maturity Assessment in the Company Using Elements of Artificial Intelligence

Student: Kirshchenya Vitaly

Supervisor: Vladimir Alexandrovich Fomichov

Educational Programme: Big Data Systems (Master)

Final Grade: 10

Year of Graduation: 2017

This Master’s thesis represents a research concerning the approaches to assessment of risk management maturity level in the organizations. It formalizes a system which allows automatic and fast assessment of risk management maturity level and provides the results for the user. The system automatically analyses the answers and estimates the risk management maturity level in several seconds after answering all questions. In the end, the system provides the main recommendation for the companies to move into next stage of risk management maturity level. Generally, this system is useful for all companies which want to be aware of the risk management maturity level and improve their level of risk management maturity.

Full text (added May 20, 2017)

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