Deputy to MicroStrategy Integration
AI-first ETL from Deputy into MicroStrategy. Governed entities, incremental sync, typed landing tables.
How Datrise loads Deputy into MicroStrategy
Datrise syncs Deputy's employees, shifts, timesheets, locations, leave requests, and pay rates 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
Deputy: Workforce scheduling and timesheet management.
MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.
How Deputy entities map to MicroStrategy
| Deputy entity | MicroStrategy object | Notes |
|---|---|---|
| employees | deputy_employees | id PK · custom fields → flattened columns |
| shifts | deputy_shifts | id PK · linked to deputy_employees |
| timesheets | deputy_timesheets | id PK · linked to deputy_employees |
| locations | deputy_locations | id PK · linked to deputy_employees |
FAQ
How does Datrise handle Deputy'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 Deputy 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
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