Case Study: a global CPG giant builds a scalable enterprise data foundation with Tiger Analytics

a global CPG giant boosts data modeling efficiency by 10% with Tiger Analytics

Tiger Analytics partnered with a global CPG giant to address its fragmented and siloed data landscape. The client faced challenges standardizing diverse data sources, was constrained by a legacy Teradata system that limited scalability, and struggled with complex data lineage tracking, all of which hindered data-driven decision-making.

The solution involved implementing a modern enterprise data foundation on Azure and Databricks. Tiger Analytics migrated the client to a Delta Lake architecture, customized the Microsoft CPG data model for a single source of truth, and established robust data governance. This provided a scalable platform for AI and analytics, accelerated time-to-value, and increased data modeling efficiency by 10%, while enabling cost savings and supporting critical applications across procurement, supply chain, and finance.