Case Study: Grab achieves real-time, localized app optimization and a single source of truth for millions of rows with Tableau Software

Ride-sharing company, Grab analyzes millions of rows of user data to optimize customer experience

Grab, Southeast Asia’s leading ride‑hailing app, collects millions of rows of GPS and user data across services like GrabShare and GrabTaxi. Reporting was previously slow and fragmented in static spreadsheets, making it hard for product teams to quickly optimize features, tailor launches to local markets, and improve the driver and passenger experience.

Grab implemented Tableau Server as a single source of truth, giving company‑wide access to real‑time, blended dashboards. The change drove faster analysis and cross‑functional collaboration, a 60% increase in Tableau users in six months and improved server stability, and enabled targeted product refinements—such as optimizations to GrabShare and chat features that reduced cancellations—resulting in better match rates and a more “super local” app experience.

Grab

Kong-wei Lye

Head of Data Science