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Microsoft Fabric for Energy: One Lakehouse for Grid, Customer, and Finance

Microsoft Fabric as the unified analytics platform for utilities — OneLake for SCADA, AMI, OMS, GIS, CIS, and financial data. Data Factory for source system ingestion. Real-Time Intelligence for grid events. Power BI Direct Lake for the dashboards executives and regulators actually use.

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Why Utilities End Up With Six Analytics Platforms

A typical mid-size utility has accumulated multiple overlapping analytics platforms. The historian (OSIsoft PI / AVEVA PI) for SCADA data. A separate data warehouse (Teradata, Oracle, or SQL Server) for customer and financial data. A GIS analytics layer. An OMS reporting database. An AMI analytics platform from the meter vendor (Itron, Landis+Gyr). And various Excel and Access databases that individual departments maintain. Each was built for a specific need. None talk to each other. The cross-system questions that would actually improve grid reliability and customer service can't be answered because the joins don't exist.
Microsoft Fabric offers a consolidation path when designed for utility reality. OneLake as the unified store. Data Factory ingesting from SCADA (via PI or direct), AMI, OMS, GIS, CIS, and the financial system. Real-Time Intelligence for streaming grid events and anomaly detection. Power BI Direct Lake for dashboards. The key is the asset and geographic master data alignment — without it, Fabric becomes platform number seven. With it, Fabric becomes the consolidation that makes cross-system analytics possible.

How Energy Companies Apply It

Unified Utility Lakehouse

OneLake as the single store for SCADA, AMI, OMS, GIS, CIS, and financial data — with asset and geographic master data alignment, domain workspaces, and reconciliation against source systems.

OneLake + SCADA + AMI + OMS + GIS + CIS

Real-Time Grid Event Processing

Real-Time Intelligence for streaming SCADA events, AMI alerts, and OMS notifications — KQL queries for real-time grid monitoring and Reflexes for automated action triggers.

Real-Time Intelligence + SCADA + grid events

Direct Lake for Utility Dashboards

Power BI Direct Lake against gold-layer Delta tables — sub-second performance for reliability dashboards, customer analytics, and the regulatory reporting views that need to match filed numbers exactly.

Direct Lake + reliability + regulatory + customer

What You Receive

Microsoft Fabric delivered for utility consolidation: OneLake architecture, Data Factory ingestion from SCADA/AMI/OMS/GIS/CIS, asset and geographic master data, Real-Time Intelligence for grid events, Power BI Direct Lake, source system reconciliation, migration plans for existing platforms, and the operational handoff.

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Pre-qualified Data Engineering specialists for your energy projects. 4.3-day average, 92% acceptance.

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From Our Blog

Microsoft Fabric for Energy — FAQ

Can Fabric replace the PI historian?

Fabric complements the historian rather than replacing it. PI handles real-time SCADA data collection and short-term operational analysis. Fabric ingests from PI (via PI-to-OCS or direct export) for the longer-term analytics, cross-system joins, and the reporting that PI alone can't support. Most utilities keep PI for operations and add Fabric for analytics.

Yes — OneLake stores time-series data efficiently with partitioning by time and asset. Real-Time Intelligence handles streaming events. The cost is managed through tiering and retention policies. We design for utility volume from the start.

Yes. Pre-qualified Fabric architects and data engineers with utility domain experience — SCADA/AMI integration, asset master data, grid analytics, and the consolidation discipline utility Fabric programs require. 92% first-match acceptance.

One Lakehouse for
Grid, Customer, and Finance

SCADA, AMI, OMS, GIS consolidated in Fabric — with the asset master data that makes cross-system analytics possible.

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