Practifi to Yellowfin Integration
AI-first ETL from Practifi into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Practifi into Yellowfin
Datrise syncs Practifi's clients, households, entities, service requests, opportunities, and review meetings into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.
Ideal for dashboards with automated data storytelling.
Endpoints
Practifi: Salesforce-based platform for advisory firm operations.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Practifi entities map to Yellowfin
| Practifi entity | Yellowfin object | Notes |
|---|---|---|
| clients | practifi_clients | id PK · custom fields → flattened columns |
| households | practifi_households | id PK · linked to practifi_clients |
| entities | practifi_entities | id PK · linked to practifi_clients |
| service requests | practifi_service_requests | id PK · linked to practifi_clients |
FAQ
How does Datrise handle Practifi's custom fields in Yellowfin?
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 Yellowfin types.
How does the Practifi to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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Early access
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