SurveyCTO to Looker Studio Integration
AI-first ETL from SurveyCTO into Looker Studio. Governed entities, incremental sync, typed landing tables.
How Datrise loads SurveyCTO into Looker Studio
Datrise syncs SurveyCTO's form submissions, forms, fields, answers, enumerators, and submission timestamps into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.
Ideal for free, shareable dashboards on Google data sources.
Endpoints
SurveyCTO: Offline-capable field survey data collection.
Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).
How SurveyCTO entities map to Looker Studio
| SurveyCTO entity | Looker Studio object | Notes |
|---|---|---|
| form submissions | surveycto_form_submissions | id PK · custom fields → flattened columns for chart fields |
| forms | surveycto_forms | id PK · linked to surveycto_form_submissions |
| fields | surveycto_fields | id PK · linked to surveycto_form_submissions |
| answers | surveycto_answers | id PK · linked to surveycto_form_submissions |
FAQ
How does Datrise handle SurveyCTO's custom fields in Looker Studio?
Flexible values are stored as flattened columns for chart fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker Studio types.
How does the SurveyCTO to Looker Studio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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Early access
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