Mindbody → Tableau
AI-first ETL from Mindbody into Tableau. Governed entities, incremental sync, typed landing tables.
How Datrise loads Mindbody into Tableau
Datrise syncs Mindbody's contacts, accounts, deals, activities, and lifecycle events into Tableau as warehouse tables or a refreshed .hyper extract. Flexible or custom fields land in flattened columns for Tableau fields, and timestamps such as created, updated, and status changes are typed as date/datetime fields.
Sync is incremental: Datrise uses incremental refresh of the tables behind a live connection or extract, so re-runs update only what changed. Date-partitioned facts to keep extract refresh quick. Tableau .hyper extracts snapshot data, so Datrise keeps the source tables incremental and lets you choose live vs extract.
Ideal for visual analytics and dashboards in Tableau.
Endpoints
Mindbody: Wellness and fitness CRM for members, bookings, and retention.
Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.
How Mindbody entities map to Tableau
| Mindbody entity | Tableau object | Notes |
|---|---|---|
| contacts | mindbody_contacts | id PK · custom fields → flattened columns for Tableau fields |
| accounts | mindbody_accounts | id PK · linked to mindbody_contacts |
| deals | mindbody_deals | id PK · linked to mindbody_contacts |
| activities | mindbody_activities | date/datetime fields events |
FAQ
How does Datrise handle Mindbody's custom fields in Tableau?
Flexible values are stored as flattened columns for Tableau fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Tableau types.
How does the Mindbody to Tableau sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the tables behind a live connection or extract.
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