Skyscanner Data Accuracy Improvement with AtScale

This case study outlines Skyscanner's initiative to enhance data accuracy and consistency through the implementation of AtScale. Skyscanner, a leading online travel agency with 100 million monthly users, faced challenges with inconsistent data reports generated by various tools such as Tableau and Excel. The company aimed to simplify its data landscape by replacing SQL Server Analysis Services (SSAS) with a more suitable technology that could improve query performance from their Databricks data lake. The solution involved creating a universal semantic layer that allowed business users to access consistent metrics and KPIs across different BI tools. The collaboration with AtScale and Databricks resulted in a significant reduction in time-to-insights and improved cross-departmental collaboration. Users now benefit from consistent data query results, enabling them to perform analysis more efficiently and effectively. This case study highlights the successful integration of advanced data management tools to meet Skyscanner's evolving business needs.