DatriseAI-first ETL

Visma e-conomic to ThoughtSpot Integration

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

How Datrise loads Visma e-conomic into ThoughtSpot

Datrise syncs Visma e-conomic's invoices, customers, suppliers, journal entries, accounts, and products into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.

Ideal for natural-language search analytics over a warehouse.

Endpoints

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

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How Visma e-conomic entities map to ThoughtSpot

Visma e-conomic entityThoughtSpot objectNotes
invoicesvisma_e_conomic_invoicesid PK · custom fields → flattened columns for searchable 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 ThoughtSpot?

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

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

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

Related pipelines

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