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Management of Operational Risks in Banking
Fraitová, Tereza ; Lacko, Branislav (referee) ; Doskočil, Radek (advisor)
This thesis focuses on operational risk management in banking. The main aspect for the selection of operational risks was the extent of impact in the selected banking institution, which is one of the largest financial institutions in the Czech Republic. The identification and classification of the risk was based on the study of the internal documents of the institution. Operational risk is defined as the risk of loss arising from inadequacy or failure of internal processes and systems, from human failure, and as the risk of loss arising from an external event. These mentioned operational risks will be dealt with later in the thesis. The aim is to apply the theoretical knowledge acquired during the study and apply it to the work with the help of risk measurement, assessment tools. Then the impacts and consequences are presented using selected analyses. Furthermore, the thesis contains partial suggestions for risk minimization measures in the selected institution. The results of the thesis contain some contribution to the management and its risk management last but not least for further development and risk measures in the selected banking institution.
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Analysis of the operational risks of the banking system implementation project
Bertsch, Jan ; Žváčková, Lenka (advisor) ; Pejčoch, David (referee)
This bachelor thesis describes analysis of operational risk of bank software implementing project. In first part of this thesis, I`m theoreticaly describing definition of risk and different classifying of the risk. The procceses of risk management are also described. I`m focusing on operational risk. In the second part, I`m describing phases of implementation project. There is detailed decription of risks of project phases, which are able to negativly influence goals of the project.
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Risk management processes improvement in insurance company supported by DSS and BI
Pinkas, Miroslav ; Novotný, Ota (advisor) ; Nosek, Karel (referee)
The thesis is concerned with application of Decision Support Systems and Business Intelligence as a tool for decision-making support into processes of operational risk management in insurance company to improve them and reach a higher corporate performance.The goal of the thesis is to analyze a theory for a support of a process improvement design with the mentioned reach and to develop a design of improved operational risk management processes in a particular insurance company. The mean to reach goals is through-out a literature and articles research regarding a process improvement, decision-making, models and technologies of DSS and BI, and risk management. The theoretical framework is then used as back-bone for implementation of a practical part of innovated processes design. The thesis offers the analysis of an area of risk management processes improvement via DSS and BI in an insurance company that has been researched relatively little, but whose principles can be used for improvement projects in different areas too. A department of operational risk management in a certain insurance company obtains a complete design of innovated processes including DSS / BI application support specification which respects modern techniques of process improvements involving specific methods of decision-making quality. For the same department a part of the design was implemented -- Knowledge management system, that can be fully used. Introductory part of the thesis is concerned with techniques of business process improvement and its alignment with corporate performance. The next chapter describes specifics of operational risk management processes. In the third one models, techniques, information technologies of Decision Support Systems and Business Intelligence disciplines are analyzed. The practical part of the text starts with strategic analysis of the insurance company, proceeds with operational risk management processes analysis and reaches the design of innovated processes involving DSS and BI application support. Benefits of designed processes' changes are verified. In the conclusion a certain process change is accepted for the implementation and its results are described.
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