Enhancing driver performance through big data
Using operational data to better understand driver behaviour and improve training and performance management.
The Challenge
A national rail operator needed to evaluate how new rolling stock and operational data could be used to enhance driver training and performance. The operator sought to understand whether combining multiple data sources could provide insights into performance variability, while ensuring privacy and regulatory compliance.
The Outcome
The pilot study demonstrated that integrating operational data with driver profiles provides valuable insights into performance patterns and variability. The analysis revealed that performance could be significantly improved by linking data from training and operational systems. The study also emphasized the importance of complying with privacy regulations while leveraging big data. The key recommendations included integrating data-driven insights into training policies, refining performance evaluation methods, and ensuring full legal compliance with data protection standards.
ISO certified
