Interprombank automated process of assessment of solvency

In November, 2012 RStyle Softlab announced the termination of the joint project with JSB Interprombank as a result of which process of assessment of solvency of borrowers is automated.

Choosing a Solution

Having aimed to implement in bank the system allowing to integrate maintaining the client file and calculations for different techniques (including the solution of the integrated tasks, for example such as calculation of rates of reservation), Interprombank got acquainted with a product of R-Style Softlab company — the business application "RS-DataHouse: System of assessment of solvency" ("RS-DataHouse: JUICE"). The bank was attracted by openness of a system, an opportunity to implement at the same time several techniques of assessment and also wide functionality. Presence at the company of successful experience of implementation of similar projects became a decisive factor for benefit of the product R-Style Softlab.

Project Progress

Works started in January, 2012, and in June all tasks set by the customer were implemented. As a result of implementation the bank received the system allowing: · messages "client file". A system provides information storage on all subjects of economic activity, being partners of bank. The possibility of storage and data processing by the following types of partners is supported: to legal entities, insurance companies, subjects of the Russian Federation and municipal entities, banks (residents and nonresidents), individuals and individual entrepreneurs. For filling of "the client file" the external accounting systems of bank are used, but also the possibility of manual entry of information is not excluded by authorized users of business divisions; · perform calculation of ratings for all types of the subjects of economic activity which are listed above. Seven method of calculation of rating providing sensitivity of result of calculation to financial performance and to additional factors of assessment of financial and economic activity are automated. At the same time the user is given an opportunity to adjust values of the calculated indicators (to make expert changes). Storage of results of all calculations of a financial status and ratings is also implemented, including cuts of initial data on which they were received that increases transparency when carrying out internal checks and facilitates providing information upon the demand of external regulators; · edit the existing calculation procedures and create own (including a possibility of copying of an initial technique with its subsequent editing); · using the built-in designer to create and configure new forms of the reporting, structure of questionnaires and their binding to models; · create analytical balances and other derivative forms of the reporting on the basis of initial data structures; · issue the specialized reporting (thanks to integration with the external accounting systems of bank); · distribute subjects of economic activity on groups and execute mass calculations for them; · perform monitoring on clients (periodic and one-time).

Implement so large-scale project in a short time became possible in many respects thanks to the fact that the bank had a clear understanding what should be the end result, and the company had practices in this direction.

The project success was promoted by close work of vendor and the business customer. In the territory the bank selected jobs for group of implementation thanks to what all questions arising in implementation process of the project were solved quickly.

According to the deputy CEO of R-Style Softlab company Galina Kipervarg, "the project was fruitful and mutually advantageous for both parties. Interprombank with implementation "RS-DataHouse: JUICE" received desirable decision making system, and the company significantly expanded functionality of the business application and added one more successful project to a moneybox of achievements".

Olga Arapova, head of department of risk analysis of Ltd JSB INTERPROMBANK: "The bank plans further development of functionality of a system, including setup of automatic control of execution by business partners financial the covenant, calculation of cumulative risk level for all types of investments of bank, extent of achievement of limit key indicators of risk in the different business directions".