DatriseAI-first ETL

SAP Fieldglass to MicroStrategy Integration

AI-first ETL from SAP Fieldglass into MicroStrategy. Governed entities, incremental sync, typed landing tables.

How Datrise loads SAP Fieldglass into MicroStrategy

Datrise syncs SAP Fieldglass's workers, job postings, work orders, time sheets, suppliers, and invoices 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

SAP Fieldglass: External workforce and contingent labor management.

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How SAP Fieldglass entities map to MicroStrategy

SAP Fieldglass entityMicroStrategy objectNotes
workerssap_fieldglass_workersid PK · custom fields → flattened columns
job postingssap_fieldglass_job_postingsid PK · linked to sap_fieldglass_workers
work orderssap_fieldglass_work_ordersid PK · linked to sap_fieldglass_workers
time sheetssap_fieldglass_time_sheetsid PK · linked to sap_fieldglass_workers

FAQ

How does Datrise handle SAP Fieldglass'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 SAP Fieldglass 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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