DatriseAI-first ETL

ForceManager Looker Studio

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

How Datrise loads ForceManager into Looker Studio

Datrise syncs ForceManager's contacts, accounts, deals, activities, and lifecycle events 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

ForceManager: European CRM for SMB and mid-market sales teams.

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

How ForceManager entities map to Looker Studio

ForceManager entityLooker Studio objectNotes
contactsforcemanager_contactsid PK · custom fields → flattened columns for chart fields
accountsforcemanager_accountsid PK · linked to forcemanager_contacts
dealsforcemanager_dealsid PK · linked to forcemanager_contacts
activitiesforcemanager_activitiesdate dimension columns events

FAQ

How does Datrise handle ForceManager'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 ForceManager to Looker Studio sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

Connect ForceManager to Looker Studio the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.