Smarter travel analytics, more opportunity
Today, Skyscanner uses a self-service analytics model. Many of Skyscanner’s staff of 800 relies on Tableau to conduct their own analysis and guide decision making, relying on a small team of data engineers for data preparation and quality control and freeing up more time for data scientists to concentrate on more complex, higher value work.
Skyscanner benefits from enhanced travel intelligence—sharing insights across the business in record time. The company now has easier access to analytics around campaign success, ROI, and forecasting.
Shilton commented, “By teaching everyone how to handle data in the tools they’re familiar with, you’ll move the focus of their questions. People would previously ask, “Can you put this in a dashboard for me?” Now they ask, “Where can I get the data I need?”
Opportunities for growth: With Tableau, Skyscanner’s Growth teams can easily track the performance of their campaigns and experiments, getting top-level performance metrics and easily drilling down to specifics. This enables the organization to fine-tune their growth efforts in a truly agile way in line with Skyscanner’s working methods.
With scheduled refreshes in Tableau Server, teams work off of current data for accurate forecasting. Instead of spending several hours a week compiling data, leadership now has the data they need, when they need it.
Within Skyscanner’s Wi-Fi sponsorship program, the Growth Tribe compared activated Skyscanner customers against their Wi-Fi use in particular airports. The Tribe uses this data to determine the program’s return on investment. “This instant analysis means we can be more agile as an organization, moving more quickly to capitalize on market opportunities,” says Shilton.