Title
Heathrow Airport builds a machine learning passenger flow forecasting model on Databricks
Optimizing air travel with efficient airport flow | Databricks Skip to main content Login Why Databricks Discover For App Develop…
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Title
Heathrow Airport builds a machine learning passenger flow forecasting model on Databricks
Optimizing air travel with efficient airport flow | Databricks Skip to main content Login Why Databricks Discover For App Develop…
Description
Heathrow Airport replaced a spreadsheet-based passenger forecasting process with an ML forecasting model on the Databricks Data + AI Platform. The new model cut forecast turnaround from two weeks (two people) to four hours (one person) and reduced the flight-level forecasting error margin from 30% to 10%, letting the airport proactively plan cleaning, maintenance and staffing around passenger wait times.
…roving customer satisfaction by optimizing passenger flow within varying areas. Heathrow sped forecast insights from two weeks and two people to four hours and one person while decreasing the margin of error from 30% to 10%. Airport customer satisfaction is directly impacted by passenger wait times. If…
Company
Heathrow Airport
…ed simplicity 67% More accurate flight-level error forecasting, from 30% to 10% Heathrow Airport aims to be an extraordinary and future-ready travel hub while welcoming over 82 million passengers and handling over 460,000 flights an…
Industry
Travel & Hospitality
…greater level of service in a more efficient airport.” Share this post Details Industry : Travel and Hospitality Cloud : Azure Product : Delta Sharing , Unity Catalog Ready to get started? Try…
Problem
Heathrow relied on over 500GB of data weekly and legacy, siloed data tools to power more than 1,300 daily flights; without distributed computational power its forecasting model required two weeks and two people to manage, and the airport lacked tools for user education, data governance, security and ML model training.
…owing processing and productivity, increasing costs, and compromising accuracy. Without distributed computational power and a high-performing data platform, Heathrow’s forecasting model required two weeks and two people to manage. Eduardo Teixeira Garrido Junior, Tactical Forecast Manager at Heathrow, emphasi…
Solution
Heathrow centralized its data and analytics on the Databricks Data + AI Platform on Azure, starting with a passenger flow forecasting model, implemented data governance with Unity Catalog, trained users through Databricks Academy, and integrated Power BI with Databricks for dashboards and visualizations.
…cessing on the Databricks Data + AI Platform After comparing various platforms, Heathrow Airport centralized its data and analytics on the Databricks Data + AI Platform on Azure. The platform’s integrated tools, easy-to-manage foundation, and user experience…
Technology
Databricks Data + AI Platform, Delta Sharing, Unity Catalog, MLflow, Power BI
…rs get a greater level of service in a more efficient airport.” Share this post Details Industry : Travel and Hospitality Cloud : Azure Product : Delta Sharing , Unity Catalog Ready to get started? Try Databricks for free Learn more about our product Talk…
Deployment model
cloud
…cessing on the Databricks Data + AI Platform After comparing various platforms, Heathrow Airport centralized its data and analytics on the Databricks Data + AI Platform on Azure. The platform’s integrated tools, easy-to-manage foundation, and user experience…
Deployment options
cloud
…cessing on the Databricks Data + AI Platform After comparing various platforms, Heathrow Airport centralized its data and analytics on the Databricks Data + AI Platform on Azure. The platform’s integrated tools, easy-to-manage foundation, and user experience…
Headline outcome
…ies / Heathrow CUSTOMER STORY Optimizing air travel with efficient airport flow 95% Faster data processing, from 80 hours to 4 hours 50% Fewer labor costs with automation and centralized simplicity 67% More accur…
Business value
Heathrow sped forecast insights from two weeks and two people to four hours and one person while decreasing the margin of error from 30% to 10%, enabling proactive planning of predictive maintenance, cleaning and service interruptions around passenger wait times.
…erience. With the accurate, automated and fast forecasting model in Databricks, the airport can plan predictive maintenance, cleaning, and service interruptions during slow times and days. It prepares teams for peak travel periods so they can proactively respond with…
AI capabilities
Predictive Analytics
…the airport now processes forecasting data in just hours, not weeks. In a year, Heathrow drastically modernized its forecasting model, reduced errors and costs, and gained insights for AI expansion. Today, the airport continues to advance data and analytics to ensure customer s…
Use case type
Predictive operations
…the airport now processes forecasting data in just hours, not weeks. In a year, Heathrow drastically modernized its forecasting model, reduced errors and costs, and gained insights for AI expansion. Today, the airport continues to advance data and analytics to ensure customer s…