DatriseAI-first ETL

Wise Agent GoodData

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

How Datrise loads Wise Agent into GoodData

Datrise syncs Wise Agent'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

Wise Agent: Real estate CRM for leads, listings, and agent follow-up.

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

How Wise Agent entities map to GoodData

Wise Agent entityGoodData objectNotes
contactswise_agent_contactsid PK · custom fields → flattened columns
accountswise_agent_accountsid PK · linked to wise_agent_contacts
dealswise_agent_dealsid PK · linked to wise_agent_contacts
activitieswise_agent_activitiesdate dimensions events

FAQ

How does Datrise handle Wise Agent'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 Wise Agent to GoodData sync stay up to date?

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

Related pipelines

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