Connecting Your ERP to Microsoft Power Platform: Closing the Operational Data Gap

Commercial data lives in the ERP. Project data lives in industry-standard scheduling tools. Field data lives in spreadsheets or paper. Nobody has a complete picture without hours of manual consolidation. Connecting your ERP to Microsoft Power Platform closes that gap.

What "Integration" Actually Means

ERP integration means different things in different contexts. At the most basic level, it means getting data out of your ERP and into a form that other systems can use. At its most sophisticated, it means a live, bidirectional connection where data flows automatically between systems without manual intervention.

For most construction and engineering organisations, the practical goal is somewhere in between: automated extraction of key operational data from the ERP, on a schedule or in response to events, fed into dashboards, reports, and operational tools that are more accessible and more useful than the ERP's own reporting.

Common ERPs in Construction and Engineering

We work with organisations running a range of ERP systems — Sage, Oracle (including EBS and NetSuite), SAP, Coins, Viewpoint, and others. Each has different integration characteristics. Some expose well-documented APIs that make integration straightforward. Others have database access that requires a more direct approach. Some require scheduled data exports that are then processed and loaded.

The integration approach depends on what your specific ERP makes available — but in almost every case, a workable integration path exists.

What the Integration Looks Like in Practice

The typical architecture for an ERP-to-Power Platform integration has three layers:

Extraction

Data is extracted from the ERP on a schedule — hourly, daily, or in response to specific events. This might be via API, database query, or scheduled report export, depending on the ERP.

Transformation

Raw ERP data is rarely in a form that's immediately useful for reporting. A transformation layer cleans, structures, and relates the data — mapping ERP cost codes to projects, resolving naming inconsistencies, calculating derived fields. This step is often underestimated but is critical to delivering reliable outputs.

Load

Transformed data is loaded into a structured store: Azure SQL, Dataverse, or Microsoft Fabric's Lakehouse. From here, Power BI connects for reporting, Power Apps can reference the data, and Power Automate can trigger workflows based on what the data shows.

What Becomes Possible

Once your ERP data is connected to Power Platform, a range of capabilities that were previously impractical become straightforward:

Real-Time Commercial Dashboards

Cost and value data from the ERP combined with programme data from your scheduling tool, presented in a Power BI dashboard that updates automatically. Commercial managers see the current position without pulling reports or waiting for month-end.

Automated Alerts

When cost on a cost code exceeds a threshold, or a purchase order approaches its committed value, Power Automate sends an automatic notification to the relevant person. Issues are visible before they become problems.

Cross-System Reporting

ERP data alone tells one part of the story. Combined with schedule data, resource data, and field data, it tells a complete operational and commercial picture — one that no ERP reporting module can match on its own.

Faster Month-End

When cost data flows automatically from the ERP into structured reporting, the manual consolidation that consumes days of commercial management time is significantly reduced. The data is already in the right place and the right format.

What to Consider Before Starting

ERP integration projects have a reputation for complexity and overrun, often because scope isn't well defined at the outset. A few principles that help:

• Start with the data that causes the most pain. Don't try to replicate the entire ERP in Power Platform. Identify the two or three data sets that would deliver the most value if accessible in real time, and start there.
• Understand your ERP's integration capabilities early. The approach differs significantly depending on whether your ERP has a modern API, database access, or only export files. This shapes the architecture and the timeline.
• Plan for data quality. ERP data is often messier than it appears — inconsistent cost code structures, duplicate entries, historical anomalies. Build data quality checks into the transformation layer rather than discovering issues after go-live.
• Build for the people, not the system. The end goal is a dashboard a commercial manager can use to make decisions, or an alert that lands in someone's inbox at the right moment. Keep that use case in mind throughout the technical build.

← Back to Insights