Case Study / Air Canada
Improving data reliability to drive better decisions
Impact
In a complex digital environment involving multiple teams and systems, Air Canada needed to rely on its data to make informed business decisions.
We redesigned the entire analytics architecture to ensure consistent, reliable and actionable data collection. By structuring tagging, aligning data sources and coordinating teams, we reduced inconsistencies that were limiting decision making.
At the same time, we streamlined partner integrations and accelerated marketing activation processes.
Result data discrepancies between analytics and booking systems were reduced by 80%, partner activation time decreased by 50% and more than 200 tags were deployed to enhance data collection. Proof that reliable data is a direct driver of performance and efficiency.





