DatriseAI-first ETL

Efficy CRM GoodData

AI-first ETL from Efficy CRM into GoodData. Governed entities, incremental sync, typed landing tables.

How Datrise loads Efficy CRM into GoodData

Datrise syncs Efficy CRM's contacts, accounts, deals, activities, and lifecycle events 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

Efficy CRM: European CRM for SMB and mid-market sales teams.

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

How Efficy CRM entities map to GoodData

Efficy CRM entityGoodData objectNotes
contactsefficy_contactsid PK · custom fields → flattened columns
accountsefficy_accountsid PK · linked to efficy_contacts
dealsefficy_dealsid PK · linked to efficy_contacts
activitiesefficy_activitiesdate dimensions events

FAQ

How does Datrise handle Efficy CRM'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 Efficy CRM to GoodData sync stay up to date?

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

Related pipelines

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