Case Study: Leading Foodservice Distributor achieves SLA compliance and real-time self-service analytics with Sigma Computing

F500 Wholesaler Depends on Sigma to Meet SLAs

Leading Foodservice Distributor, which serves 300,000 restaurants and operators, struggled to operate on a multi‑billion‑row service-level dataset powering a Tableau Service Level Impact dashboard. Scale limitations forced heavy aggregation and frequent data extracts from the BI team (which spent 20% of its time on ad hoc requests), preventing timely root‑cause analysis and contributing to missed SLAs, penalties, and customer retention challenges. The company turned to Sigma Computing to solve these issues.

Sigma Computing delivered a Snowflake‑native, cloud‑scale analytics layer with a spreadsheet‑style, self‑service interface that gives employees direct access to live Snowflake data. With the ability to analyze and pivot billions of rows without summaries or stale extracts, business users can rapidly drill down, resolve issues, and act to meet SLAs—reducing reliance on BI for ad hoc extracts and avoiding the penalties and customer-impacting delays the distributor faced previously.