Growing a data-driven organization at easyJet

Many large organizations want to develop data science capabilities, but the traditional complexity and legacy of such companies dont allow a fast and agile evolution toward data-driven decision making. EasyJet is working toward becoming completely data driven. Alberto Rey shares real-world examples on how easyJet is tackling the challenges of scaling up its analytics capabilities.

Many large organizations want to develop data science capabilities, but the traditional complexity and legacy of such companies don’t allow a fast and agile evolution toward data-driven decision making. EasyJet is working toward becoming completely data driven. Alberto Rey shares real-world examples on how easyJet is tackling the challenges of scaling up its analytics capabilities. With more than 450,000 flights a year and close to 80 million passengers, easyJet has considerable experience in data-driven decision making. The airline collects large amounts of data on operations, engineering, consumer preferences, and pricing trends to increase the efficiency of its operations and deliver a better product at a lower cost to its customers, relying on its team of analysts and data scientists to solve heterogeneous business problems. Topics include: