Abstract
This article reveals the peculiarities of the establishment of an integrated bank operational risk management in the context of the development of a new information system. In the course of the study, the author found out that: The maximum effect from bank operational risk management system to be introduced is provided by coordinating various sources of information within subsequent evaluation of potential threats and identification of the most significant hereof, given that:
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information on activities is integrated with data on released and potential sources of operational risk;
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database on violations and risks is integrated on the basis of cause-effect relations;
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data on business process is integrated with current customer-identification systems and products used by them;
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information communication channel is integrated using the process of configuring particular domain areas with the operating system.
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Notes
- 1.
Reference [11].
- 2.
Reference [8].
- 3.
Author’s note. Cross-industry standard process for data mining, known as CRISP-DM, is an open standard process model that describes common approaches used by data mining experts. It is the most widely-used analytics model.
- 4.
Author’s note. CRISP-DM was conceived in 1996 and was led by three companies (modern Daimler Chrysler, SPSS and Teradata) Further, it was developed by two hundred companies of different industries involved in data-mining projects.
- 5.
Author’s note. Evaluation meets the requirements of Basel 3 in accordance with the BCBS new agreement on capital adequacy evaluation (“International Convergence of Capital Measurement and Capital Standards: improved approaches”) published on the website of Bank of Russia www.cbr.ru.
- 6.
Author’s note. Evaluation is carried out on oprisk information system data.
- 7.
Author’s note. Oprisk indicators are developed using incidents databases. They represent regularly monitored parameters describing risks or their predictors, i.e. forces of substantial impact.
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Magomaeva, L. (2019). Establishing an Integrated Bank Operational Risk Management in the Context of the Development of a New Information System. In: Popkova, E. (eds) Ubiquitous Computing and the Internet of Things: Prerequisites for the Development of ICT. Studies in Computational Intelligence, vol 826. Springer, Cham. https://doi.org/10.1007/978-3-030-13397-9_69
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