The Challenge
The client was operating a legacy on‑premise Oracle data warehouse that lacked the performance, flexibility, and scalability required to support modern analytical and digital data sources. Rising maintenance costs and high operational overheads were further constraining business agility.
Disconnected ingestion and transformation pipelines produced fragmented, inconsistent outputs, while manual, error-prone processes delayed reporting and insight generation. Limited monitoring, lineage, and alerting reduced data trust, and a rigid legacy architecture made it difficult to onboard new data sources, underscoring the need for an enterprise-grade, cloud-native data platform.
