DatriseAI-first ETL

Veeva CRM Yellowfin

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

How Datrise loads Veeva CRM into Yellowfin

Datrise syncs Veeva CRM'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

Veeva CRM: Healthcare CRM for accounts, compliance, and field engagement.

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

How Veeva CRM entities map to Yellowfin

Veeva CRM entityYellowfin objectNotes
contactsveeva_contactsid PK · custom fields → flattened columns
accountsveeva_accountsid PK · linked to veeva_contacts
dealsveeva_dealsid PK · linked to veeva_contacts
activitiesveeva_activitiesdate/time dimensions events

FAQ

How does Datrise handle Veeva CRM'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 Veeva CRM 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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