Faster Cloud Migration Powered by Reusable Frameworks

The client needed a scalable, automation-led approach to migrate large volumes of enterprise data from on-premise systems to Google Cloud across 30+ countries. Their teams were operating with fragmented processes, manual infrastructure provisioning, and limited reuse across regions, slowing down migration timelines. They also needed to standardize how historical data was moved, validated, and reconciled so every market could adopt the same model with confidence.

In addition, the client required an automated way to leverage their existing OneTru Solution Canvas to accelerate implementation. They wanted reusable ingestion patterns, a CDC-based replication pipeline for real-time data movement, and a consistent framework that would ensure accuracy, compliance, and faster execution during both Day-0 historical migration and Day-1 ongoing replication.