CASE STUDY
Heathrow , the UK ’ s international gateway , is utilising the Databricks Data Intelligence Platform . It will unify and govern its data and AI on Databricks to help predict and manage passenger flow .
As one of the world ’ s best-connected airports welcoming over 82 million passengers and handling over 460,000 flights annually , Heathrow relies on over 26TB of data to make critical real-time decisions . This includes data on passenger numbers , flights , airlines , seasonal performance , as well as traffic and weather patterns – all of which are crucial to power daily flights .
Prior to partnering with Databricks , Heathrow already had impressive forecasting capabilities . However , the airport wanted to do more to realise the full potential of forecasting by refining its approach to data and AI , with tools for user education , data governance and security , and Machine Learning ( ML ) model training .
Creating a more efficient airport experience with the Data Intelligence Platform
Heathrow chose to centralise its data and AI on the Databricks Data Intelligence Platform on Microsoft Azure . Built on a lakehouse architecture , the Databricks Data Intelligence Platform provides an open , unified foundation for all data and governance and is powered by a Data Intelligence Engine that understands an organisation ’ s unique data .
With Databricks , Heathrow now has the capability required for advanced AI and ML use cases – starting with its passenger flow forecasting model . In just a year , Heathrow sped up forecast insights from two weeks to four hours while decreasing the margin of error from 30 % to 10 %, allowing the airport to become more efficient and accelerate productivity .
MAXIMISING THE VALUE OF OUR DATA IS CRITICAL TO OUR CONTINUED SUCCESS .
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