Case Study: Ford improves telematics analysis and driver insights with TransportAPI

Ford processes 40 billion data packets with TransportAPI

The customer, Ford, was struggling to process and analyze the enormous volume of telematics and sensor data from its vehicle fleet. This data, which included metrics like speed and engine diagnostics, was extremely challenging to aggregate and summarize. To make meaningful sense of this information, Ford partnered with the vendor TransportAPI.

TransportAPI developed a logical data model and an API to structure and aggregate the data, cross-referencing it with contextual information like weather reports. This solution processed roughly 40 billion data packets, enabling Ford to interactively answer complex queries in less than a second. The results included the ability to identify individual driving behaviors and calculate a "driving score," which helped encourage safer driving and reduce vehicle wear and tear.

Ford