DatriseAI-first ETL

Visma E Conomic Klipfolio

AI-first ETL from Visma E Conomic into Klipfolio. Governed entities, incremental sync, typed landing tables.

How Datrise loads Visma E Conomic into Klipfolio

Datrise syncs Visma E Conomic's records, events, and configuration objects into Klipfolio as query-ready tables or feeds Klipfolio reads. Flexible or custom fields land in flattened columns for Klips, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables or data feeds, so re-runs update only what changed. Date-partitioned facts for trend Klips. Klipfolio pulls from sources on a refresh interval, so Datrise keeps tables incrementally current to match.

Ideal for real-time KPI dashboards and wallboards.

Endpoints

Visma E Conomic: SaaS or API data source for analytics and warehouse sync.

Klipfolio: Dashboard platform for real-time KPIs and metric wallboards.

How Visma E Conomic entities map to Klipfolio

Visma E Conomic entityKlipfolio objectNotes
recordsvisma_e_conomic_recordsid PK · custom fields → flattened columns for Klips
eventsvisma_e_conomic_eventsdate/time columns events
configuration objectsvisma_e_conomic_configuration_objectsid PK · linked to visma_e_conomic_records

FAQ

How does Datrise handle Visma E Conomic's custom fields in Klipfolio?

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

How does the Visma E Conomic to Klipfolio sync stay up to date?

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

Related pipelines

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