AATC Instructor Predictive Dashboard

Project Background & Description

The AATC Instructor Predictive Dashboard was developed to resolve operational inefficiencies in scheduling of instructors and in resource planning at Airbus Asia Training Centre (AATC). The initiative focused on building a dashboard that shows instructor utilisation, simulator capacity, and course demand. The key objectives include reducing manual data handling, minimising time spent on cross-checking information, and supporting more effective operational planning for customers.

Currently, the existing dashboard is not user-friendly for the planning team. It lacks visibility on things like instructor qualifications and available resources, as well as key rules such as minimum instructor requirements and rest needs. As a result, the system does not support forecasting the impact of changes—such as adjustments in course plans, simulator availability, customer requirements, or course cancellations on instructor resources and qualifications. ​

To close these gaps, the AATC Instructor Predictive Dashboard serves as a single source of truth by connecting and integrating data across AATC. It establishes inter-relationships and provides interactive functionality that generates meaningful insights for operational planning. By implementing this predictive dashboard, AATC can reduce operational inefficiencies, eliminate data silos, and enhance decision-making for training delivery.