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PURIST
30 days
Money-back window
14 h/wk
Modeled time saved
99.97%
Uptime SLA
< 7 days
Deploy time
PURIST AI
Claude Opus 4.7 · n8n v1.71 · <80ms
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Data
Intermediate

Aggregation (data)

Combining data from multiple sources into a unified output. Example: pulling revenue from Stripe, deal data from HubSpot, and hours from Harvest, then aggregating into a single weekly P&L report sent automatically every Monday.

Expert insight

Aggregating data (summing, averaging, counting) inside a workflow instead of in the source system means the aggregation logic exists in two places if anyone later needs the same number elsewhere, and the two calculations will eventually disagree once someone changes one without knowing about the other.

In a real workflow

Daily orders are aggregated by product to produce a single reorder suggestion per supplier.

Common mistakes

  • Aggregating before cleaning data, which hides duplicates.
  • Losing the detail needed to explain the totals.

Complexity level

Intermediate

Requires some familiarity with automation concepts.

Quick facts

Category Data
Level
Intermediate

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