Case Study: Lufthansa Technik achieves 40% fewer component removals and lower operating costs with Cloudera

Lufthansa Technik - Customer Case Study

Lufthansa Technik, a global leader in aircraft maintenance, repair and overhaul (MRO) and an OEM, supports roughly 800 customers and 5,000+ aircraft worldwide. Faced with modern aircraft producing vastly more sensor data (up to terabytes per flight) and mounting pressure to cut unscheduled maintenance and delays, the company needed a secure, scalable way to let operators retain control of their data while turning massive datasets into actionable maintenance insights.

Their answer was AVIATAR, a cloud-based analytics platform built on Cloudera’s open-source Hadoop stack that pairs Lufthansa Technik’s MRO expertise with real-time data, machine learning and automated fulfillment. AVIATAR enables predictive and prescriptive maintenance, inventory optimization (e.g., Partsmate) and faster decision-making—resulting in lower maintenance costs, increased operating hours, new IoT-driven revenue opportunities and 40% fewer removals for predicted components.

Lufthansa Technik

Jan Stövesand

Senior Director, Data and Analytics