Kommo → Tableau
AI-first ETL from Kommo into Tableau. Governed entities, incremental sync, typed landing tables.
How Datrise loads Kommo into Tableau
Datrise syncs Kommo's conversational CRM events, chats, leads, and sales automation triggers 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
Kommo: Conversational CRM for WhatsApp, chat funnels, and sales automation.
Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.
How Kommo entities map to Tableau
| Kommo entity | Tableau object | Notes |
|---|---|---|
| conversational CRM events | kommo_conversational_crm_events | date/datetime fields events |
| chats | kommo_chats | id PK · linked to kommo_conversational_crm_events |
| leads | kommo_leads | id PK · linked to kommo_conversational_crm_events |
| sales automation triggers | kommo_sales_automation_triggers | id PK · linked to kommo_conversational_crm_events |
FAQ
How does Datrise handle Kommo'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 Kommo 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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