Case Study: Bowery Farming achieves scalable, accessible data management with Select Star

Bowery Farming makes data accessible and manageable at scale with Select Star

Bowery Farming, an indoor agriculture company growing leafy greens and strawberries for over 1,000 retailers, needed a better way to manage rapidly expanding data operations. As its facilities, sensors, and dashboards scaled, the team struggled to find and understand data, track dependencies, and prevent broken dashboards that disrupted time-sensitive decisions. To address this, Bowery Farming turned to Select Star, using its data discovery platform across Snowflake, dbt, and Mode.

With Select Star, Bowery Farming gained automatic data cataloging, column-level lineage, and clearer visibility into how changes in dbt models affected downstream dashboards. Select Star helped the team reduce ad-hoc support requests, cut dashboard troubleshooting from 30-60 minutes to just 1-2 minutes, and speed up onboarding for data scientists. The result was more confidence in data, fewer broken dashboards, and a scalable foundation for Bowery Farming’s continued growth, including plans for two more facilities and millions of additional data points.

Bowery Farming

Travis Dunlop

Senior Data Scientist