Case Study: Western Union achieves 50% data warehousing cost reduction and multi-cloud data consolidation with Snowflake

Western Union Reduces Costs 50% And Achieves Multi-Cloud Strategy With Snowflake

Western Union, the Denver-based financial services company that helps people and businesses move money for more than 250 million customers worldwide, struggled with a fragmented, on-premises data architecture. Multiple data warehouses, duplicated ingestion processes and growing digital volumes created data mismatches, resource contention and heavy operational overhead, while the company needed a solution that supported a multi‑cloud strategy.

Western Union implemented Snowflake’s Data Cloud across AWS and GCP to consolidate 30+ data stores into a single source of truth and eliminate resource contention with a fully managed, multi‑cluster architecture. The move cut data warehousing costs by more than 50% (saving millions annually), accelerated BI and self‑service analytics with tools like ThoughtSpot and Tableau, freed engineering resources for higher‑value work, and improved data science and near‑real‑time reporting — with plans to extend insights to external partners via Snowflake’s marketplace.

Western Union

Vamshi Gunda

Enterprise Analytics Group Leader