Case Study: Label Insight achieves 200% ROI with Looker

Label Insight Building the perfect data stack

Label Insight provides product transparency data for retailers and manufacturers, covering more than 80% of top-selling food, pet, and personal care items in the U.S. The company faced a challenge with large, fragmented data sets spread across 17 sources and no data warehouse, making it slow and difficult to answer customer questions and scale reporting. It chose Looker alongside Google BigQuery and Fivetran to build a centralized analytics stack.

Looker helped Label Insight turn its consolidated data into dashboards and ad hoc analysis, giving the team faster access to product and event information and improving responsiveness to customer requests. The results were significant: more than 100 Looker dashboards were created, over 70% of employees used the stack weekly, and the company reported a 200% ROI by freeing up 140 hours of manual reporting each week. Looker enabled richer insights, quicker analysis, and better support for both internal teams and customers.

Label Insight

Jim Shedlick

Director of Architecture