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Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK

Growing a data-driven organization at easyJet

Alberto Rey (easyJet PLC)
15:3016:00 Tuesday, 23 May 2017
Data Case Studies, Strata Business Summit
Location: Capital Suite 15
Level: Beginner
Average rating: ****.
(4.50, 4 ratings)

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:

  • People: Developing talent is the first step to change the organization of a big company. Making sure the data community is empowered with tools that simplify their tasks, decentralizing analytics so that each department has control over what they need, and providing development paths for talented individuals ensures that the best people stay with the company and improves the overall impact of data on the organization.
  • Processes: It is important to export best IT practices around documentation and process mapping into the business side while being more production oriented.
  • Technology: easyJet has chosen to be technology agnostic, with a bias toward vendors with business experience. The adoption of open source technologies has also been an important step toward greater flexibility.
Photo of Alberto Rey

Alberto Rey

easyJet PLC

Alberto Rey is head of data science at easyJet, where he leads easyJet’s efforts to adopt advance analytics within different areas of the business. Alberto’s background is in air transport and economics, and he has more than 15 years’ experience in the air travel industry. Alberto started his career in advanced analytics as a member of the Pricing and Revenue Management team at easyJet, working in the development of one of the most advanced pricing engines within the industry, where his team pioneered the implementation of machine-learning techniques to drive pricing. He holds an MSc in data mining and an MBA from Cranfield University.