Enabling Scalable & Governed Data Ingestion

The client, a multinational manufacturer of confectionery and other consumer products, manages vast volumes of structured and unstructured data across multiple business units, geographies, and source systems. As the business scaled, so did the complexity of its data landscape — spanning ERP systems, syndicated POS feeds, trade promotion platforms, and third-party sources, each with its own format and load pattern. Their existing data ingestion pipeline was fragmented, code-driven, and effort-intensive, requiring custom development for nearly every new source, since the organization had no true metadata-driven data ingestion framework in place. It lacked the flexibility of a governed data onboarding approach, leaving teams without a reusable, standardized way to bring new sources online. This resulted in delays in data availability, operational inefficiencies, governance risks, and slower time-to-insight — a common bottleneck for CPG enterprises without a mature metadata-driven data ingestion framework or broader data governance framework.