Aggregation
Aggregated data makes large datasets easier to analyze and can reduce exposure of individual-level information. Teams may aggregate events by day, country, device type, or customer segment to spot patterns and compare performance. However, aggregation can hide important variation, so analysts should choose a level of detail that supports the question being asked and drill down when a summary changes unexpectedly.
What is Aggregation?
Aggregation is the process of combining individual data points into summarized values, such as totals, averages, counts, or grouped distributions.
Why it matters
Aggregated data makes large datasets easier to analyze and can reduce exposure of individual-level information. Teams may aggregate events by day, country, device type, or customer segment to spot patterns and compare performance. However, aggregation can hide important variation, so analysts should choose a level of detail that supports the question being asked and drill down when a summary changes unexpectedly.
Example
Instead of reviewing every purchase event, a dashboard shows daily revenue by country and plan.