Case Study: Fastned accelerates site acquisition decision-making with Felt and Databricks

How Fastned Uses Felt & Databricks to Build the Charging Network of Tomorrow

Fastned, a company building a network of EV charging stations, faced the challenge of empowering its site acquisition team with self-serve location data insights. The team was new to GIS and struggled with slow, fragmented government websites and overly complex professional tools, which led to low adoption and data reliability concerns. They turned to the vendor Felt to find a more intuitive platform.

By implementing Felt and leveraging its native integration with Databricks, the solution provided the team with a trusted, automatically updating source of truth for spatial data. This led to rapid adoption across the site acquisition team's workflows, making maps a critical part of their decision-making process. Felt delivered significant impact by substantially enhancing organizational confidence in location data and freeing up technical staff from the burden of developing custom data connectors.

Fastned

Kenny Ling

Head of Location Intelligence