DatriseAI-first ETL

VinSolutions Yellowfin

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

How Datrise loads VinSolutions into Yellowfin

Datrise syncs VinSolutions'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

VinSolutions: Automotive dealer CRM for leads, inventory, and showroom workflows.

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

How VinSolutions entities map to Yellowfin

VinSolutions entityYellowfin objectNotes
contactsvinsolutions_contactsid PK · custom fields → flattened columns
accountsvinsolutions_accountsid PK · linked to vinsolutions_contacts
dealsvinsolutions_dealsid PK · linked to vinsolutions_contacts
activitiesvinsolutions_activitiesdate/time dimensions events

FAQ

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

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

Related pipelines

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