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Linking and combining datasets to derive higher-level insights and profiles.

Definition

Data aggregation involves consolidating multiple datasets (events, transactions, identifiers) and linking them at user or device level to create unified views and segments.

In plain English Linking and combining datasets to derive higher-level insights and profiles.

Why this matters

Why it matters: Aggregation increases re-identification risk and the sensitivity of derived inferences.

Example

Example: Joining web tracking events with offline purchase data using an email hash.