Subject: In our most ambitious project 34 views

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In alternative competitive solutions, there is either no such functionality at all, or it is only declared, but not actually confirmed in practice. Market.CNews: Which solutions - boxed or customized - prevail in implemented FIS projects? Vladimir Zalesky: The paradigm of our projects is built on helping the customer achieve key business indicators during project implementation. We come and say: either we set up a box configuration, based on our many years of business expertise in banking areas, and then we build up competencies together with the bank, develop and customize this configuration, or we immediately start making a custom project and adapt it as much as possible to the needs of the bank.

My personal belief is that if a business wants to be effective and competitive, simply the Rich People Phone Number List boxes path (when the customer just wants to purchase a box ) is excluded. Boxed solutions are a simple way to automate the first level of the largest tasks on the business side, a quick start. But in the future, the maximum depth of customization for the customer comes first, because no two businesses are alike. Even in the banking sector, each bank is very different from each other in terms of internal business processes. The winner is the one whose costs are constantly decreasing and profits are constantly growing.



This can only be done with a continuous cycle of optimization and automation of business lines on the customer s side. Market.CNews: Which FIS cases do you consider the most striking over the past year? Vladimir Zalesky: If we talk about specific cases was the launch of a car lending pipeline and a partner management system based on the no-code FIS Platform at RGS Bank . In it we used a huge number of new technological properties: deployment on nodes, convenient update in terms of CI/CD of each node with its own functionality, readiness of our solution to work with a huge amount of data, logical division of the solution from a business point of view into various components - front office, partner management system, credit pipeline , mobile application, using machine learning for document recognition and much more.