Salesloft → MicroStrategy
AI-first ETL from Salesloft into MicroStrategy. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesloft into MicroStrategy
Datrise syncs Salesloft's cadence activity, conversation signals, and revenue workflow execution into MicroStrategy as warehouse tables for MicroStrategy's schema objects. 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 warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.
Ideal for large-scale enterprise reporting and governance.
Endpoints
Salesloft: Revenue workflow platform for cadences, conversations, and coaching signals.
MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.
How Salesloft entities map to MicroStrategy
| Salesloft entity | MicroStrategy object | Notes |
|---|---|---|
| cadence activity | salesloft_cadence_activity | date/time dimensions 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 MicroStrategy?
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 MicroStrategy types.
How does the Salesloft to MicroStrategy sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.
Related pipelines
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