Vincle to Qlik Integration
AI-first ETL from Vincle into Qlik. Governed entities, incremental sync, typed landing tables.
How Datrise loads Vincle into Qlik
Datrise syncs Vincle's customers, visits, orders, product assortments, promotions, and sales routes into Qlik as tables loaded into Qlik's associative engine (often via QVD). Flexible or custom fields land in flattened columns for the data model, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental QVD loads merged on stable id, so re-runs update only what changed. QVD files per entity and load date. Qlik's associative model joins on identically named fields, so Datrise standardizes key names so associations link correctly.
Ideal for associative, in-memory exploration in Qlik Sense.
Endpoints
Vincle: Field sales and trade execution for consumer goods.
Qlik: Associative analytics with Qlik Sense apps and governed data models.
How Vincle entities map to Qlik
| Vincle entity | Qlik object | Notes |
|---|---|---|
| customers | vincle_customers | id PK · custom fields → flattened columns for the data model |
| 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 Qlik?
Flexible values are stored as flattened columns for the data model, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Qlik types.
How does the Vincle to Qlik sync stay up to date?
It runs incrementally — Datrise uses incremental QVD loads merged on stable id.
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