DatriseAI-first ETL

Practifi to ThoughtSpot Integration

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

How Datrise loads Practifi into ThoughtSpot

Datrise syncs Practifi's clients, households, entities, service requests, opportunities, and review meetings into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.

Ideal for natural-language search analytics over a warehouse.

Endpoints

Practifi: Salesforce-based platform for advisory firm operations.

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How Practifi entities map to ThoughtSpot

Practifi entityThoughtSpot objectNotes
clientspractifi_clientsid PK · custom fields → flattened columns for searchable fields
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 ThoughtSpot?

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

How does the Practifi to ThoughtSpot sync stay up to date?

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

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