Description
Discover how Novacomp developed an automated online credit pre-selection tool for a major bank, focused on mortgage solutions, auto loans, and personal loans. Through a modern microservices architecture and integration with existing systems, the platform enabled the consolidation of credit information from multiple sources, automated evaluation workflows, and intelligently selected appropriate products based on each client’s profile.
What will you discover in this document?
By reading this case study, you will learn:
- The challenge of fragmented credit evaluation: The need to consolidate data from diverse sources, automate online workflows, and build a flexible, intuitive tool for bank staff to manage and incorporate new financial products.
- The methodological and agile approach: A development pod working under the SCRUM framework using Jira for sprint and deliverable management, focused on designing automated credit classification flows that reduce manual intervention.
- The technological ecosystem and cross-platform connectivity: The integration of services in .NET Core, microservices architecture, REST/SOAP/WCF APIs, SQL Server 2017, and a frontend with Bootstrap, jQuery, and JavaScript, along with interoperability with legacy iSeries-RPG systems.
- The results and impact on banking management: Precise allocation of credit products based on user risk metadata, the deployment of an intuitive administrative interface, and the acceleration of the credit pre-selection cycle.