Case Study: United Airlines reduces passenger wait times with Impetus' AWS data platform modernization

United Airlines saves 22% of time modernizing AWS data pipelines with Impetus

United Airlines faced the challenge of migrating its 20-year-old legacy data pipelines to a modern AWS data lake to personalize user experience and verify passenger travel readiness in real-time during the COVID-19 pandemic. The airline partnered with vendor Impetus and utilized its LeapLogic cloud transformation accelerator to modernize its data platform and meet its technical needs for handling diverse data at scale.

Impetus implemented an AWS lakehouse architecture using services like AWS Glue and Amazon SageMaker, automating pipeline creation and data quality checks with their frameworks. The solution, powered in part by LeapLogic, saved 70% of the effort compared to manual coding. For United Airlines, this resulted in reduced passenger wait times at airport gates through automated travel readiness checks and personalized customer offers, creating a scalable platform with over 500 monitored data quality checks.

United Airlines