DatriseAI-first ETL

Practifi to GoodData Integration

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

How Datrise loads Practifi into GoodData

Datrise syncs Practifi's clients, households, entities, service requests, opportunities, and review meetings 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

Practifi: Salesforce-based platform for advisory firm operations.

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

How Practifi entities map to GoodData

Practifi entityGoodData objectNotes
clientspractifi_clientsid PK · custom fields → flattened columns
householdspractifi_householdsid PK · linked to practifi_clients
entitiespractifi_entitiesid PK · linked to practifi_clients
service requestspractifi_service_requestsid PK · linked to practifi_clients

FAQ

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

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

Related pipelines

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