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.

Client Objectives

Services and Technologies

Industry

The Mandate

As part of the redesign of aircanada.com, Air Canada wanted to modernize its digital data ecosystem in order to improve the quality, reliability and accessibility of the data available in Adobe Analytics.

Within a complex, high-availability technology environment, adviso was mandated to design, deploy and maintain a data collection architecture capable of supporting the needs of marketing, media, analytics and business intelligence teams, while providing a more unified view of digital performance and user behavior.

The adviso team enabled us to fully leverage the power of Adobe Analytics, giving us the level of granularity and flexibility needed to analyze a robust and complex data ecosystem.
Jeremy Thompson, Ecommerce, Insights & Analytics Manager, Air Canada
-80%

reduction in data discrepancy between analytics and booking systems

The Challenges

Managing a complex architecture

Ensure reliable data collection within a responsive single-page application (SPA) environment where user interactions and content display varied across platforms. 

Centralizing data usage

Support the needs of multiple teams and departments using Adobe Analytics to access, activate and leverage data on a daily basis. 

 

Unifying multiple data sources

Integrate external and transactional data to create a more complete and consistent view of digital performance. 

Maintaining high availability

Deploy the solution within a critical technology environment where the stability and availability of Air Canada’s booking services were essential.

Reliable, well-structured data is essential to delivering personalized customer experiences at scale.

The Strategy

 

Building a scalable data architecture

Implement a tagging architecture based on a dynamic data layer (W3C Digital Data Layer) to improve data quality and flexibility. 

Centralizing tagging governance

Establish a centralized tagging workflow to reduce errors and ensure greater consistency across datasets. 

Connecting teams and data

Work closely with business intelligence and development teams to integrate digital data with broader business systems. 

Deploying without disrupting operations

Plan deployments during lower-traffic periods to maintain the stability of Air Canada’s transactional platforms. 

Advancing analytics maturity

Train marketing teams and agency partners, review the analytics ecosystem and recommend an optimized roadmap covering processes, technologies and governance. 

Turning data into business insights

Analyze user behavior and industry trends to guide decisions related to UX, mobile prioritization and media investment optimization.

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