Case Study: GetGo achieves faster insights and improved fleet efficiency with Databricks

Data-powered car-sharing gives people the freedom to drive

GetGo, Singapore’s largest car-sharing company, needed a better way to manage rapidly growing telemetry, payment, and image data across a complex legacy environment. Its small data team struggled with secure data access, infrastructure complexity, and supporting use cases like customer 360, predictive maintenance, and supply chain management, so it turned to Databricks Lakehouse / Databricks Data Intelligence Platform.

With Databricks, GetGo unified its data and improved analytics with geospatial analysis and NLP, enabling faster insights and better decisions. The results included a 20% boost in data team productivity, 66% faster time to insights, and next-business-day reporting, a 7x improvement over its legacy setup; it also reduced fuel theft by 50% and improved fleet placement and utilization.

GetGo

Maximilian Jackson

Head of Data Science and Engineering