Ryanair is the biggest European airlines with a fleet of 400 Boeing 737 NGs making more than 2,200 flights daily and carrying around 120 millions passengers in 2016. And it’s growing—by 2024 Ryanair estimates it will have 200 million passengers. There are multiple ways the company is supported by machine learning. Marcin Pilarczyk explores the main aspects of fuel management of a modern airline (i.e., how to fly cheaper and therefore offer cheaper tickets) and offers an overview of machine learning methods supporting long-term planning and daily decisions.
There are multiple area where flight operations decisions can be supported by using advanced analytics:
Multiple data sources are used to provide insights: transactional data belonging to MS world, quick access recorder data, radar data, weather reports, pilot reports, and multiple static sources. The data is processed with Spark on an on-premises Cloudera cluster, Microsoft SSIS, and R and presented mainly with Tableau.
Marcin Pilarczyk is a data scientist and a leader of Ryanair’s Data and Analytics Department. Marcin has around 14 years of professional experience working in the aviation, telco, and financial industries in topics including data science, big data solutions, and data warehouses.
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