GLOSSARY

Data collected directly by an organisation through its own interactions with customers, users, prospects or audiences.

It improves the reliability and reuse of information for analytics, automation and AI while reducing reconciliation and decision risk.

A cross-functional team applies First-Party Data 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.

Data collected directly by an organisation through its own interactions with customers, users, prospects or audiences. 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.