Vincle to Yellowfin Integration
AI-first ETL from Vincle into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Vincle into Yellowfin
Datrise syncs Vincle's customers, visits, orders, product assortments, promotions, and sales routes 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
Vincle: Field sales and trade execution for consumer goods.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Vincle entities map to Yellowfin
| Vincle entity | Yellowfin object | Notes |
|---|---|---|
| customers | vincle_customers | id PK · custom fields → flattened columns |
| visits | vincle_visits | id PK · linked to vincle_customers |
| orders | vincle_orders | id PK · linked to vincle_customers |
| product assortments | vincle_product_assortments | id PK · linked to vincle_customers |
FAQ
How does Datrise handle Vincle'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 Vincle to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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