DatriseAI-first ETL

Visma e-conomic to Looker Integration

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

How Datrise loads Visma e-conomic into Looker

Datrise syncs Visma e-conomic's invoices, customers, suppliers, journal entries, accounts, and products into Looker as governed warehouse tables with LookML-ready naming. Flexible or custom fields land in flattened columns (nested fields expanded for modeling), and timestamps such as created, updated, and status changes are typed as date/time dimension columns.

Sync is incremental: Datrise uses incremental refresh of the underlying warehouse tables Looker explores, so re-runs update only what changed. Date-partitioned fact tables for PDT performance. Looker models live in LookML on top of SQL, so Datrise lands clean, stable column names rather than churn that would break your views.

Ideal for governed, version-controlled BI on a warehouse.

Endpoints

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

Looker: Google Cloud BI with LookML semantic models and governed dashboards.

How Visma e-conomic entities map to Looker

Visma e-conomic entityLooker objectNotes
invoicesvisma_e_conomic_invoicesid PK · custom fields → flattened columns (nested fields expanded for modeling)
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 Looker?

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

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

It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.

Related pipelines

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