DatriseAI-first ETL

ForceManager Yellowfin

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

How Datrise loads ForceManager into Yellowfin

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

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

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How ForceManager entities map to Yellowfin

ForceManager entityYellowfin objectNotes
contactsforcemanager_contactsid PK · custom fields → flattened columns
accountsforcemanager_accountsid PK · linked to forcemanager_contacts
dealsforcemanager_dealsid PK · linked to forcemanager_contacts
activitiesforcemanager_activitiesdate/time dimensions events

FAQ

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

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

Related pipelines

Early access

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