R-Style Softlab constructed an information and analytical complex in Yunibank (Armenia) based on RS-DataHouse

May 5, 2015. The R-Style Softlab company reported^[1] about creation of an information and analytical complex in Yunibank (Armenia) based on the RS-DataHouse platform. The company created the centralized storage and automated such directions of bank analytics as bank risk management, budgeting and formation of the management reporting with transfer pricing.

System implementation provided quality control, completeness and availability of business information on activity of bank, including head office and all 46 departments.

Control of hazard rates and stability was defined by financial credit institution as a high-priority task. Within this request of R-Style Softlab implemented the functionality for assessment of liquidity and carrying out the GAP analysis allowing to control assets and liabilities, to analyze influence of the interest rate realignment on interest income of bank, to estimate bank interest rate risks and a liquidity risk. Besides, for the purposes of credit risk management the vintage analysis using which modeling of parameters of risk of the loan portfolio is performed was implemented.

Implementation of tools for budgeting, constructions of the management reporting with calculation of transfer income — expenses and the prices and also a number of specific reports allowed to close a pool of analytical tasks of bank considerably.

As well as in other R-Style Softlab projects in the territory of the CIS, a system provides multilingualism. Thanks to it users can work with data in the Armenian, Russian and English languages.

For comfortable access for employees of the bank to reports and functionality the web interface ("Thin client") was implemented.

"The modern bank risk management should be hi-tech — the vice chairman of the board, the director of operational service and information systems of Yunibank Mesrop Akopyan emphasized. — Thanks to cooperation with R-Style Softlab we received that level of risk management which will allow us to save stability and in the conditions of a difficult economic situation. Now we planned further interaction on building of business applications based on the implemented platform".

"According to last modifications in economy we automated a number of very interesting techniques and by that increased controllability of process of the analysis of bank risks — Yulia Kvetkina, the director of the department of the analytical R-Style Softlab systems commented. — It is important that formation of this and other analytical reporting necessary for bank happens on the qualitative data verified by a system excluding errors and with high rates on speed".

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