CRIF’s Teledata Credit Data Platform Development

The team follows CRIF’s existing Scrum and Kanban processes, using the same tools and joining regular planning meetings and daily standups. A daily overlap in working hours supports real-time collaboration, while documentation keeps everyone aligned throughout the day.

To support growing data volumes, the team manages regular imports from official registries while maintaining data integrity. Elasticsearch optimization helps ensure users can quickly access information even as the platform expands.

The team contributes to architectural discussions alongside CRIF stakeholders, particularly in areas such as backend services and data modeling. Decisions are made collaboratively based on system requirements and operational constraints.

Quality is maintained through standard engineering practices including code reviews and automated testing. The dedicated engineering team structure helps maintain context over time, which supports more consistent implementation.

The Vietnam and European teams share a daily overlap window used for meetings and coordination. Outside of that time, work continues asynchronously with updates captured in shared tools to keep progress steady.