Case Study: Edmunds.com achieves accurate, up-to-date vehicle inventory and 35% improved data quality with Databricks

Edmunds - Customer Case Study

Edmunds, a leading car information and shopping network serving nearly 20 million visitors monthly, faced growing data challenges as it aggregated hundreds of terabytes from third‑party providers. Inaccurate and missing vehicle inventory details harmed the customer experience, while complex infrastructure, siloed teams, and manual, inconsistent model deployment slowed development and prevented effective collaboration.

By adopting Databricks, Edmunds centralized and automated its data platform with serverless infrastructure, Delta Lake for reliable ETL, interactive shared workspaces, and MLflow for streamlined model deployment. The changes democratized data access, improved vehicle data quality by 35%, sped ad‑hoc analysis sixfold, cut reporting time by 60% (saving about 5–6 hours/week for engineers), and delivered millions of dollars in operational savings.

Edmunds.com

Anh Dao Pham

Vice President Product & Program Management