Case Study: Label Insight achieves faster insights and organization-wide efficiencies with Looker

Label Insight modernizes their data stack to deliver efficiencies across the organization

Label Insight analyzes product labeling and ingredient data for CPG brands and retailers, deriving tens of thousands of product attributes to fuel eCommerce and product decisions. As data volumes grew, their on‑premises BI, fragmented data silos, and manual reporting processes became costly and slow—analysts spent days producing reports, QA was time‑consuming, and engineers were blocked from innovating.

They rebuilt their stack with Google BigQuery (warehouse), Fivetran (automated pipelines for 17 sources), and Looker (BI), enabling self‑service analytics, governed access, and embedded insights. The results: automated hourly syncs, ~60% platform adoption, 120 labor hours saved per week, $10,000/month recurring savings, and a 200% ROI—freeing teams to deliver faster, higher‑quality insights to customers.

Label Insight

Andrew Watt

Senior Technology Operations Analyst