Modern Data Lakehouse for a Leading Global Airlines to Help Realize the Vision of a Data-Driven Company

Client

The customer is one of the biggest airlines worldwide and a leading European airline group. They continue to play a part in shaping the global airline market and setting standards for customer friendliness and sustainability. They use the potential of innovation and digitalization to develop customer-focused products and increase efficiency.

Challenges 

• Optimize business cases economically
• Process unstructured data such as images, text, spoken language, and audio files 
• Minimize bottlenecks in existing fragmented business intelligence processes 
• Se up operating cost models for data and analytics tools and technologies 
• Set scalability and elasticity limitations to deploy advanced analytics use cases

LTM Solution

• Leveraged data and analytics services partner to implement a modern data platform on Azure Cloud and Databricks to deliver high-performance Business Intelligence, Data Science, and AI use cases.
•  Developed business processes aligned data models on Databricks to support the development of new data science projects.
• Deployed framework-based data assets and models for scalability, flexibility, handling business-critical workloads, and accelerating the deployment of those projects in production.
• Built a scalable NextGen Azure Native Data platform for flexibility, agility, operational efficiency, improving self-service, and advanced data use cases.
• Designed and implemented verticalized data products with a highly modular design to support data science and advanced analytics use cases.
• Se up data management for data sets like Revenue and Commercial, Pricing, Technical Operations, and Airlines Operations.

Business Benefits

• Empowered employees better through data and analytics while achieving operational excellence
• 2.5x increase in speed of delivery of Business Intelligence reports and dashboards
• Established One Data Platform to enable commercial operations to assist passengers with personalized services before, during, and after their flights
• Migrated data volumes of about 150 TB to Azure and Databricks for Reporting, BI, and Data Science use cases
• Delivered data science and AI/ML use cases for key process areas such as Operations Control, Punctuality Management, Turnaround Management, Baggage Management, Fuel Management, Quality Management, and Weight and Balance