Case Study: EVPassport achieves faster data insights and AI readiness with Databricks

A Databricks Case Study

Preview of the EVPassport Case Study

EVPassport Charging Ahead to the Future with Databricks

EVPassport, which provides electric vehicle charging as an infrastructure-as-a-service solution, needed a better way to unify data from multiple systems and improve reporting, analytics, and utilization insights across its charging network. Before working with Databricks, the team was relying on several disconnected tools and manual exports, making it difficult to deliver timely, easy-to-use reports and support data-driven decisions.

Databricks implemented the Databricks Data Intelligence Platform and Delta Lake to centralize EVPassport’s data from systems like Stripe, Salesforce, and MongoDB, with Tableau used for visualization. The result was a major efficiency boost: month-end reporting that previously took half a day now takes minutes, and the company can move data faster between teams while laying the groundwork for predictive maintenance, natural-language data access, and AI-driven support through Databricks Mosaic AI.


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EVPassport

Thomas Kim

Manager, Data Analytics


Databricks

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