DatriseAI-first ETL

Visma e-conomic to GoodData Integration

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

How Datrise loads Visma e-conomic into GoodData

Datrise syncs Visma e-conomic's invoices, customers, suppliers, journal entries, accounts, and products into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

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

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How Visma e-conomic entities map to GoodData

Visma e-conomic entityGoodData 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 GoodData?

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 GoodData types.

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

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

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