Server-Side Tracking
The collection and forwarding of measurement events through organisation-controlled server infrastructure rather than solely from a user’s browser or device.
It improves the reliability and reuse of information for analytics, automation and AI while reducing reconciliation and decision risk.
A cross-functional team applies Server-Side Tracking in a production initiative, defines ownership and success criteria, tests representative scenarios, monitors outcomes and records corrective actions before scaling.
The approach does not guarantee trustworthy data. Poor source quality, missing lineage, uncontrolled access and rising platform cost can undermine the intended value.
The collection and forwarding of measurement events through organisation-controlled server infrastructure rather than solely from a user’s browser or device. Implementation requires documented sources, schemas, transformations, access controls, quality checks, lineage, observability and lifecycle ownership. The architecture should reflect latency, scale, retention and governance requirements.
Cybersecurity, Systems Architecture
Google Cloud Data Analytics — https://cloud.google.com/learn/what-is-data-analytics; IBM Data and AI — https://www.ibm.com/think/topics/data-and-ai
