Case Study: Asana achieves faster cross-team collaboration and data science efficiency with Databricks

Asana uses Databricks to improve data team productivity

Asana, the collaborative work management company, faced growing data science bottlenecks from massive daily product and business engagement data, along with an over-reliance on hard-to-scale Jupyter notebooks and complex cloud-native service management. To keep product insights, ad spend optimization, and other analytics moving, Asana turned to Databricks and its Databricks Data Intelligence Platform.

Databricks helped Asana modernize its data infrastructure with Databricks Notebooks, Delta Lake, Tableau integration, and stronger governance and security. The results included 78% of data scientists reporting a positive view of the platform, 2–3 hours saved per week on query execution, lower costs, faster collaboration, and more self-serve analytics for teams across the business.

Asana

James Davidheiser

Technical Lead — Data Infrastructure