DatriseAI-first ETL

Visma e-conomic to Tableau Integration

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

How Datrise loads Visma e-conomic into Tableau

Datrise syncs Visma e-conomic's invoices, customers, suppliers, journal entries, accounts, and products into Tableau as warehouse tables or a refreshed .hyper extract. Flexible or custom fields land in flattened columns for Tableau fields, and timestamps such as created, updated, and status changes are typed as date/datetime fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind a live connection or extract, so re-runs update only what changed. Date-partitioned facts to keep extract refresh quick. Tableau .hyper extracts snapshot data, so Datrise keeps the source tables incremental and lets you choose live vs extract.

Ideal for visual analytics and dashboards in Tableau.

Endpoints

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

Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.

How Visma e-conomic entities map to Tableau

Visma e-conomic entityTableau objectNotes
invoicesvisma_e_conomic_invoicesid PK · custom fields → flattened columns for Tableau fields
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 Tableau?

Flexible values are stored as flattened columns for Tableau fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Tableau types.

How does the Visma e-conomic to Tableau sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind a live connection or extract.

Related pipelines

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