Datascope to MicroStrategy Integration
AI-first ETL from Datascope into MicroStrategy. Governed entities, incremental sync, typed landing tables.
How Datrise loads Datascope into MicroStrategy
Datrise syncs Datascope's forms, submissions, users, locations, attachments, and answers 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
Datascope: Mobile forms for field data capture.
MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.
How Datascope entities map to MicroStrategy
| Datascope entity | MicroStrategy object | Notes |
|---|---|---|
| forms | datascope_forms | id PK · custom fields → flattened columns |
| submissions | datascope_submissions | id PK · linked to datascope_forms |
| users | datascope_users | id PK · linked to datascope_forms |
| locations | datascope_locations | id PK · linked to datascope_forms |
FAQ
How does Datrise handle Datascope'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 Datascope to MicroStrategy sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.
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Early access
Connect Datascope to MicroStrategy the easy way
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