Case Study: Vistar achieves faster, scalable data analytics with SPR and Snowflake

Vistar speeds queries and loading with SPR, cutting costs with Snowflake

SPR was engaged by Vistar, a leader in programmatic digital out-of-home advertising, to address significant challenges with their legacy AWS Redshift data platform. The company was facing performance bottlenecks that degraded customer experience, operational delays in vendor payments, rising costs, and growth constraints that prevented their infrastructure from keeping pace with increasing data volumes. Vistar needed a faster, more flexible, and scalable solution to support their accelerating business.

SPR designed and implemented a comprehensive new data platform on Snowflake, migrating Vistar's historical data and real-time streams from AWS S3. The solution included a full schema redesign, the implementation of a medallion architecture, and the creation of new ETL processes. This rebuild resulted in accelerated query and load performance for near real-time reporting and reduced operational costs through Snowflake's dynamic scaling. SPR's work provided Vistar with a scalable, future-proof foundation and enabled a smooth knowledge transfer to their internal development team.

Vistar