Power Automate: Export object-centric process mining data to Microsoft Fabric semantic model

Originally posted by Microsoft Feb 24, 2026 Uncategorized 0 Comments

Publishing to Microsoft Fabric breaks down data silos and amplifies the impact of your process insights across your organization. Instead of keeping process analytics isolated in a standalone tool, your teams can now blend object-centric process metrics with financial data, operational KPIs, customer information, and other enterprise data sources within Fabric’s unified platform. This means business analysts can build comprehensive Power BI reports that combine process performance with business outcomes, data scientists can incorporate process patterns into predictive models, and executives can access process metrics alongside other strategic indicators in their existing dashboards. By meeting stakeholders where they already work, you accelerate adoption, enable richer cross-functional analysis, and ensure process intelligence becomes an integral part of enterprise decision-making rather than a disconnected specialty tool.

This feature allows seamless integration with Microsoft Fabric for enterprise-wide analytics. It enables direct publishing of object-centric process mining (OCPM) results into Microsoft Fabric semantic models, making process intelligence data available throughout the Microsoft analytics ecosystem.

Key capabilities include:

• Semantic model publishing: Export OCPM analysis results, including objects, events, relationships, and attributes, directly to Fabric as structured semantic models.
• Multi-object support: Preserve the rich, object-centric structure of your process data, maintaining relationships between different object types (orders, deliveries, invoices, and more) in the published model.
• Metric preservation: Transfer KPIs and metrics from your process analysis, making them available as measures within the Fabric semantic model.
• Power BI integration: Access published semantic models immediately in Power BI for report creation, dashboard development, and custom visualization.
• Data refresh synchronization: Configure publishing schedules to keep Fabric semantic models current with your process mining data updates.
• Enterprise connectivity: Combine process intelligence data with other Fabric data sources, enabling unified analytics across operational, financial, and customer domains.

The published semantic models follow Fabric’s standard architecture, ensuring compatibility with existing governance policies, security controls, and data management practices within your Microsoft environment.

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