Case Study: Local TV Broadcasting Company achieves content and advertising revenue optimization with Sigma Computing

Local TV Broadcasting Leader in U.S. Optimizes Revenue with Sigma

Local TV Broadcasting Company, the fourth largest independent TV station owner in the U.S., struggled with a legacy analytics stack that required constant admin, ran basic queries for hours, and could take three months to add a new data source. Those limitations prevented the BI team from building key year‑to‑date and year‑over‑year reports, made filters and cross‑source analysis painfully slow, and blocked collaboration—resulting in delayed insights and missed revenue opportunities. To modernize analytics and connect live ratings and operational data, the company turned to Sigma Computing.

With Sigma Computing’s cloud‑native analytics built for Snowflake, the BI team created a live dashboard combining billions of rows of Nielsen/Comscore ratings and revenue data and enabled direct, governed access to current data via Sigma’s spreadsheet interface. The result: station leaders and sales teams get instant, reliable insights to optimize programming and ad placements, the BI team can analyze and filter massive datasets with no rendering latency and add new sources without months of effort, and revenue optimization is now driven by faster, self‑service analytics.