Case Study: Smartsheet achieves company-wide self-service insights at scale with Databricks

How Smartsheet operationalized Apache Spark™ with Databricks for company-wide self-service insights

Smartsheet, the leading SaaS platform for managing collaborative work used by over 90,000 companies and millions of users, faced a common challenge: Apache Spark offered powerful analytics but was hard to operationalize without specialist skills. That complexity made it difficult to build a robust production data pipeline that business users and data scientists across the company could use to generate timely insights.

Smartsheet partnered with Databricks to tame Spark and build a metadata-driven pipeline that processes application and business systems data to deliver a 360° view of customers. They created an intuitive “pyramid” of datasets for both technical and business users and rolled out adoption materials and workflows so teams can go from zero to insights in minutes—delivering company-wide, self-service analytics at scale, faster decision-making, and smarter systems integrations.

Smartsheet

Francis Lau

Senior Director, Product Intelligence