Case Study: Daimler Trucks North America achieves actionable IoT insights and scalable fleet analytics with Alteryx

Alteryx at DTNA Demystifying and Finding Insight in IoT Data

Daimler Trucks North America (DTNA), a global vehicle manufacturer, faced a data challenge as hundreds of trucks were connected daily, producing trillions of sensor rows and creating massive IoT volumes that outstripped traditional analytics tools. The company needed a scalable platform to ingest, clean, connect and analyze high-frequency vehicle sensor data to support services like fuel-economy analysis, safety reporting and broader digital transformation efforts.

DTNA implemented Alteryx to build repeatable, automated workflows (Designer and Server), integrate disparate datasets, and perform spatial and statistical analytics (including R/Python) for visualization and heat maps. The solution enabled reliable, high‑granularity insights for fuel-economy services and cross‑functional teams in Marketing, Finance, Operations and Analytics, turning raw IoT data into actionable business decisions and scalable digital services.

Daimler Trucks North America

Isaac Otto

Connected Vehicle Analytics Lead