Optimizing global journeys through secure data connectivity

Overview

Amadeus, which serves more than 400 airlines and over 1 million hotels across 190+ countries, built a Data Mesh on the Databricks Data + AI Platform on Azure with Delta Lake, Delta Sharing and Unity Catalog to process over 10 petabytes of travel data and predict traveler behavior for personalized experiences and dynamic pricing. Amadeus now runs over 100 use cases in production with 950 internal users operating over 20,000 clusters and 60,000 virtual machines daily.

The challenge

Following several acquisitions, Amadeus found themself dealing with various systems and tools, leading to possible data silos and potentially redundant analyses as well as inaccuracies and data duplication. Different user profiles required different tools, which increased complexity and required more resources.

The solution

By leveraging the Databricks Data + AI Platform to create a Data Mesh, Amadeus can seamlessly integrate diverse data sources to predict, plan and deliver exceptional and tailored travel experiences at scale. Amadeus analyzes customer market trends to forecast future demand, tracking how prospects move from searching to booking, and by examining factors like travel timing and delays between journey touchpoints, helps predict traveler engagement at each stage.

Reported business value

The company now manages 100 use cases in production, with 950 internal users operating over 20,000 clusters and 60,000 virtual machines each day. Using dynamic pricing, forecasting and personalization, airlines can adjust ticket prices based on demand and market rates, and this approach allows for personalized messaging during peak search and purchase periods, boosting both customer satisfaction and revenue potential.