Highlights
Client
A global airline group connecting South America with the Americas, Europe, Oceania, and Africa. The company operates passenger and cargo services through a modern fleet and manages a comprehensive loyalty program.
To support day-to-day decision-making, the airline relies on high-volume onboard aircraft sensor data, processed post-flight, to power analytics across Operations, Dispatch, Maintenance, and Safety teams.
Challenge
The client’s legacy aircraft sensor data processing system limited its ability to scale analytics and respond to operational demands.
Key challenges included:
Solution
DataArt partnered with the client to redesign the aircraft sensor data architecture from the ground up, delivering a cloud-native flight data analytics platform optimized for high-volume batch ingestion of onboard aircraft sensor data and enabling post-flight analytics across operations and maintenance.
The solution evolved through structured phases to reduce risk and validate performance early:
This architecture became the operational foundation of the airline’s flight data analytics platform, supporting reliable ingestion, high-performance querying, and structured storage across the organization.
Airline Operations Analytics at Scale
The new platform fundamentally transformed how the organization accesses and uses aircraft sensor data.
Key outcomes included:
- Operational Adoption The number of initiatives consuming aircraft sensor data doubled after implementation. The flight data analytics platform is now a core data source for Operations, Dispatch, Maintenance, and Safety teams.
- Significant Cost Savings By eliminating redundant processing, reducing operational delays, and optimizing cloud resource usage, the solution delivered an estimated annual direct savings of USD $200,000.
- Predictive Maintenance Enablement The solution supports advanced predictive analysis and high-value use cases, opening new frontiers in predictive maintenance.
- Central Role in the Data Ecosystem More than 14 billion historical flight records were integrated into the platform, making previously inaccessible datasets fully queryable. The system now serves as a foundational component of the client’s enterprise aviation data analytics stack.
