Case Study: How Productboard Increased Data Team Productivity by 80% with Select Star

Key results

The challenge

Productboard's data engineering team lacked centralized data discovery as data spread across departments. With more than 3,000 tables in the warehouse, users could not locate the fields they needed, and the five-person engineering team fielded 30-50 data questions each week in Slack. New data analysts took two to three months to onboard.

The solution

Productboard implemented Select Star's automated data catalog, integrated with Snowflake, Looker, and dbt, to enable self-service discovery and automatically document column-level lineage.

The results, in context

Weekly data questions dropped from 30-50 to roughly 10, and the engineering team estimated recovering about 80% more time for higher-priority work. Select Star also accelerated data-analyst onboarding, which the company reports as roughly 2x faster.

Products used