"St. Petersburg bank" together with GlowByte and SAS implemented the new credit pipeline

2020: Implementation of the credit pipeline

On October 1, 2020 it became known that the St. Petersburg Bank together with GlowByte and SAS implemented the credit pipeline. Thus, the Bank improved processes of management of credit risks, having made a transfer of all calculations in the updated decision making system based on the SAS and low-code platform of the platform of WF Core.

As it was explained, the St. Petersburg Bank for September, 2020 continues to develop the direction of consumer crediting, including using instruments of digitalization of processes. To increase sales volume and to offer the client that it is necessary for it the Bank uses methods of profound analytics. For support of these methods the solution which allows to perform precisely and quickly calculation of individual offers was found, – the SAS RTDM tool (SAS Real-Time Decision Manager).

For implementation of a system CSBI and GlowByte companies were invited. The CSBI company in this project was responsible for complex automation of credit process and for development of user interfaces based on own low-code of the platform of WF Core. Also acted as the partner Neoflex companies – the developer of IT platforms for digital transformation of business.

Within the project we managed to implement complex, multifactorial, but at the same time a flexible solution with a potential to further development. The process implemented together with our partners allowed to simplify and improve the user experience, to optimize operation of the credit pipeline and to implement logic of selection of the offer. Natalya Goncharenko, the director of directorate of support of mass products and sale of St. Petersburg Bank noticed

Implementing solution became positive to affect the level of efficiency of Bank. The credit pipeline based on SAS RTDM and low-code of the platform of WF Core has potential to adapt quickly to needs of business and supports the proper level of service for customer service.

So, use of the product SAS RTDM brings logic of decision making on loans to the following level. The potential client and according to the last relevant offers of Bank receives at once the response to the credit request: possible credit amount, interest rate, size of monthly payment and cost of an insurance. A system makes the decision proceeding from risk profile of the borrower and if the conditions requested by the borrower do not approach, formulates the alternative offer.

For September, 2020 calculation of the offer is made by a system at most in a minute. At the same time in decision-making the additional information sources configured at once in two modes – synchronous and asynchronous – are used now for more exact calculation of credit risk and assessment of solvency of potential borrowers.

Use of the deep analysis risk profiles of potential borrowers gives the chance to reduce quantity of the "bad" credits, and fast formation of offers – to increase the level of service, so, and number of clients. Optimization and digitalization of process allowed to reduce a share of "manual" checks, to reduce quantity of possible errors and operating costs.

Implementation of the credit pipeline became one more milestone in development of digitalization and optimization of work with clients. This solution allows to reduce multiply terms of consideration of requests of clients for the credits that is especially relevant for crediting in online channels. Dmitry Alekseev, the vice president – the director of Directorate of credit and deposit business of St. Petersburg Bank commented

For September, 2020 the works on start of functionality on effective management of limits of credit cards based on SAS RTDM and SAS Marketing Automation technologies are completed. The Bank will have an opportunity to configure selection criteria of loan agreements for recalculation of a limit of credit cards on the basis of any available data of the client. The next stage in development of processes of management of credit risks is transfer to the updated technologies of decision making process for acquisition loans of vehicles. Is going to finish works until the end of 2020.

Development of a system of SAS and effective cooperation of St. Petersburg Bank with CSBI and GlowByte will continue also in 2021: processes on a mortgage which automation and setup will be implemented based on low-code of the platform of WF Core will be connected to decision making system of SAS RTDM.