Why it mattered

Farben supported a banking client in the modernization and comprehensive functional testing of its corporate credit systems. Leveraging low-code technology and business data modeling, the project covered seven core systems and included full-scale data migration and production-version merge testing. These efforts helped ensure a smooth transition between the legacy and new systems while strengthening the client's capabilities in comprehensive financing services.

The client sought Farben's support in developing a market-leading suite of corporate credit systems known as the “Galaxy Project”. The initiative was designed to deliver a future-ready, feature-complete, rule-driven, streamlined, responsive, agile, and user-friendly system environment.

What we did

l Conducted comprehensive functional testing for the modernization and re-engineering of seven systems, including Corporate Credit, Credit Limit Management, Problem Asset Management and Legal Review, Credit Risk Management, Post-Lending Monitoring, Digital Operations Platform, and Corporate Business Platform.

l Conducted three rounds of full-scale data migration testing across different underlying architectures and data structures, validating data integrity through static data comparison and dynamic data verification.

l Conducted two rounds of production-version merge testing covering a 1.5-year period, verifying version consistency between the new and legacy systems despite discrepancies in baseline versions and business configurations.

l Provided support throughout the project lifecycle, including specialized testing, system integration testing, test environment management, business acceptance testing, regression testing, production rehearsals, go-live activities, and operations and maintenance.

Outcome

l As a key initiative supporting the execution of the client's three-year strategic plan and “Five Leadership” objectives, the project established a strong foundation for the bank's continued digital transformation and capability enhancement.

l By leveraging low-code technology and business data modeling, the solution enables more intelligent business process support and risk identification, strengthening the bank's capabilities in comprehensive financing services and supporting its goal of becoming a market-leading comprehensive financing service provider.