Case Study: Virgin Australia achieves faster real-time data and better operations with Databricks

Virgin Australia boosts real-time data availability by 75% with Databricks

Virgin Australia, an airline aiming to become the most-loved in its market, faced significant data challenges. Siloed legacy systems and an on-premises data warehouse led to inconsistent information and hampered real-time analytics, making personalized customer experiences and efficient operations difficult to achieve. To overcome this, they turned to the Databricks Data Intelligence Platform.

Databricks implemented a unified platform using Delta Lake for data architecture, MLflow for machine learning lifecycle management, and Unity Catalog for governance. This solution enabled Virgin Australia to break down data silos, federate queries, and deploy models faster. The results were substantial: a 75% increase in real-time data availability, a 44% decrease in mishandled baggage, and a 90% faster deployment of ML models, significantly enhancing both operational performance and customer satisfaction.

Virgin Australia