Microsoft Dynamics 365 → Sisense
AI-first ETL from Microsoft Dynamics 365 into Sisense. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft Dynamics 365 into Sisense
Datrise syncs Microsoft Dynamics 365's accounts, opportunities, activities, and enterprise CRM process data into Sisense as modeled tables for a Sisense ElastiCube (or live connection). Flexible or custom fields land in flattened columns for the cube, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental ElastiCube builds on changed rows, so re-runs update only what changed. Date-partitioned facts to speed cube builds. ElastiCube is an in-memory model, so Datrise lands incremental, build-friendly tables rather than forcing full rebuilds.
Ideal for embedded analytics on an in-memory engine.
Endpoints
Microsoft Dynamics 365: Microsoft enterprise CRM and ERP suite.
Sisense: Analytics platform with elastic data models and embedded analytics.
How Microsoft Dynamics 365 entities map to Sisense
| Microsoft Dynamics 365 entity | Sisense object | Notes |
|---|---|---|
| accounts | microsoft_dynamics_accounts | id PK · custom fields → flattened columns for the cube |
| opportunities | microsoft_dynamics_opportunities | id PK · linked to microsoft_dynamics_accounts |
| activities | microsoft_dynamics_activities | date/time fields events |
| enterprise CRM process data | microsoft_dynamics_enterprise_crm_process_data | id PK · linked to microsoft_dynamics_accounts |
FAQ
How does Datrise handle Microsoft Dynamics 365's custom fields in Sisense?
Flexible values are stored as flattened columns for the cube, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Sisense types.
How does the Microsoft Dynamics 365 to Sisense sync stay up to date?
It runs incrementally — Datrise uses incremental ElastiCube builds on changed rows.
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Early access
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