SAIDI (min/customer)
48.3
System Average Interruption Duration Index — cumulative outage minutes per customer
▲ Below 55 min target
Featured Dashboard
Utility Operations & SCADA Analytics Dashboard
Real-time grid performance monitoring, generation mix analysis, and asset health scoring — built to reduce outage duration, improve SAIDI metrics, and surface at-risk infrastructure before it fails.
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Audience
Who This Dashboard Is For
Ideal For
- Electric and gas utilities with SCADA infrastructure and OMS systems generating operational data daily
- Grid operations and reliability engineering teams responsible for SAIDI, MAIFI, and regulatory compliance metrics
- Charlotte-area utilities and energy companies operating in the Duke Energy territory or serving the Piedmont region
- Utility operations managers who need a single view of load, generation, asset health, and work order performance
- Regulatory affairs teams that need automated SAIDI/MAIFI reporting for state PUC or FERC submissions
Not Ideal For
- Organizations without SCADA or digital OMS systems — the dashboard requires structured operational data
- Utilities that only need billing or customer satisfaction analytics — this dashboard is focused on grid and asset performance
- Teams looking for demand forecasting models — this dashboard reports actuals and near-term trends, not long-range load forecasts
By the numbers
Metrics That Drive Decisions
Real impact, clearly measured. These KPIs show the tangible outcomes of data-informed strategy.
System Efficiency
91.4%
Overall grid generation and transmission efficiency across all assets
▲ +0.6pp vs prior month
O&M Cost/Customer
$287
Monthly operations and maintenance cost per customer on the grid
▼ +3.2% YoY (inflation)
Work Order Completion
94.7%
Percentage of planned maintenance work orders completed on schedule
▲ +1.1pp vs Q4 average
From challenge to success
From Reactive Grid Management to Predictive Reliability
How we turned fragmented data into a single source of truth—and what we achieved.
The challenge
Most utility operations teams are managing the grid reactively — monitoring outages after they happen, running work orders based on fixed schedules rather than actual asset condition, and producing SAIDI reports in spreadsheets the day after the event. SCADA historians capture terabytes of operational data daily, but turning that data into actionable reliability intelligence requires engineering hours that operations teams don't have.
- SCADA historians generate data continuously but most of it lives in operational silos, inaccessible to management reporting
- SAIDI calculations require integrating OMS outage records with customer count data — typically a manual monthly process
- Asset health is assessed on fixed inspection cycles, not on actual condition signals from real-time sensor data
- Generation mix reporting requires aggregating data from multiple generation assets and fuel types into a single source
Our approach
We built a Power BI semantic model on top of your SCADA historian, OMS, and EAM data that monitors load demand, generation mix, SAIDI, and asset health in a single dashboard — refreshed every hour. The model surfaces at-risk assets before they cause outages and tracks reliability trends against your regulatory targets.
- Connect to SCADA historian (OSIsoft PI or GE Proficy) via Power BI connector or REST API for real-time load and generation data
- Integrate OMS interruption records with customer count data to calculate live SAIDI and MAIFI metrics
- Score asset health using a composite model: inspection history, age, load utilization, and fault history from EAM
- Automate generation mix aggregation across fuel types with daily refresh to track renewable penetration targets
What we achieved
SAIDI improved from 62 minutes to 48.3 minutes per customer over two quarters
At-risk asset identification reduced emergency repair response time by 40% through proactive scheduling
Operations team replaced 3 hours of weekly manual reporting with automated dashboard review
Renewable penetration tracking enabled accurate quarterly regulatory reporting without manual data assembly
Work order backlog visibility led to 6pp improvement in on-schedule completion rate
Results verifiedRead full case study
FAQ
Frequently Asked Questions
Find answers to common questions about this dashboard and our process.
We support OSIsoft PI (now AVEVA PI System) via the PI Web API connector, GE Proficy Historian via OLEDB, Ignition via REST API, and Wonderware InTouch via ODBC. For utilities without a PI historian, we can work from structured CSV or parquet exports to Azure Blob Storage or SharePoint. The exact integration method is confirmed during the scoping call and depends on your network security and historian version.
From Lets Viz
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