DatriseAI-first ETL

Bigin by Zoho Looker Studio

AI-first ETL from Bigin by Zoho into Looker Studio. Governed entities, incremental sync, typed landing tables.

How Datrise loads Bigin by Zoho into Looker Studio

Datrise syncs Bigin by Zoho's SMB leads, contacts, deals, and day-to-day activity tracking 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

Bigin by Zoho: SMB CRM source for leads, deals, and activity tracking.

Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).

How Bigin by Zoho entities map to Looker Studio

Bigin by Zoho entityLooker Studio objectNotes
SMB leadsbigin_by_zoho_smb_leadsid PK · custom fields → flattened columns for chart fields
contactsbigin_by_zoho_contactsid PK · linked to bigin_by_zoho_smb_leads
dealsbigin_by_zoho_dealsid PK · linked to bigin_by_zoho_smb_leads
day-to-day activity trackingbigin_by_zoho_day_to_day_activity_trackingdate dimension columns events

FAQ

How does Datrise handle Bigin by Zoho'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 Bigin by Zoho 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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