Retently to Yellowfin Integration
AI-first ETL from Retently into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Retently into Yellowfin
Datrise syncs Retently's surveys, responses, customers, NPS scores, campaigns, and feedback comments into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.
Ideal for dashboards with automated data storytelling.
Endpoints
Retently: NPS and customer satisfaction survey tracking.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Retently entities map to Yellowfin
| Retently entity | Yellowfin object | Notes |
|---|---|---|
| surveys | retently_surveys | id PK · custom fields → flattened columns |
| responses | retently_responses | id PK · linked to retently_surveys |
| customers | retently_customers | id PK · linked to retently_surveys |
| NPS scores | retently_nps_scores | id PK · linked to retently_surveys |
FAQ
How does Datrise handle Retently's custom fields in Yellowfin?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Yellowfin types.
How does the Retently to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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