Managing large volumes of post-flight engine data across multiple operators requires speed, scalability, and actionable insights. LTTS developed a cloud-based Azure analytics platform that ingests and processes data from diverse flight recorder sources, enabling maintenance alerts within one hour of data availability while establishing a foundation for predictive maintenance.
The solution processes approximately 200 GB of data daily across 50 airline operators and 1,000 flights, helping improve maintenance planning, reduce the risk of unplanned engine removals, and enhance operational visibility through real-time analytics and dashboards.
Read the case study to learn how LTTS enabled near-real-time engine maintenance intelligence at scale.
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