Salesloft → Tableau
AI-first ETL from Salesloft into Tableau. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesloft into Tableau
Datrise syncs Salesloft's cadence activity, conversation signals, and revenue workflow execution 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
Salesloft: Revenue workflow platform for cadences, conversations, and coaching signals.
Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.
How Salesloft entities map to Tableau
| Salesloft entity | Tableau object | Notes |
|---|---|---|
| cadence activity | salesloft_cadence_activity | date/datetime fields events |
| conversation signals | salesloft_conversation_signals | id PK · linked to salesloft_cadence_activity |
| revenue workflow execution | salesloft_revenue_workflow_execution | id PK · linked to salesloft_cadence_activity |
FAQ
How does Datrise handle Salesloft'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 Salesloft to Tableau sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the tables behind a live connection or extract.
Related pipelines
More destinations for Salesloft
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