DatriseAI-first ETL

Visma e-conomic to Yellowfin Integration

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

How Datrise loads Visma e-conomic into Yellowfin

Datrise syncs Visma e-conomic's invoices, customers, suppliers, journal entries, accounts, and products 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

Visma e-conomic: Nordic accounting, invoicing, and ledger records.

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

How Visma e-conomic entities map to Yellowfin

Visma e-conomic entityYellowfin objectNotes
invoicesvisma_e_conomic_invoicesid PK · custom fields → flattened columns
customersvisma_e_conomic_customersid PK · linked to visma_e_conomic_invoices
suppliersvisma_e_conomic_suppliersid PK · linked to visma_e_conomic_invoices
journal entriesvisma_e_conomic_journal_entriesid PK · linked to visma_e_conomic_invoices

FAQ

How does Datrise handle Visma e-conomic'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 Visma e-conomic 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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