Most power plant analytics dashboards display what already happened. MTTR is calculated after a repair is complete. MTBF is updated after a failure occurs. PM compliance is reported at end of month. iFactory's analytics KPI dashboard does the opposite — every metric is calculated from live operational data, failure risk is ranked before failures occur, and maintenance performance is measured in real time against targets that adjust as asset condition changes. Your operations manager sees not just how the plant performed last week, but what is likely to happen next week and what intervention changes that outcome. Book a free KPI dashboard assessment.
Quick Answer
iFactory's analytics KPI dashboard tracks MTTR, MTBF, EFOR, OEE, PM compliance, CMMS backlog, heat rate deviation, and condition-based coverage — all calculated from live operational data, updated every cycle, and displayed at control room, management, and executive levels. Every KPI links directly to the AI finding or work order that drives it.
How iFactory Solves the Core Failures of Conventional Analytics Dashboards
Conventional dashboards report on the past. iFactory's analytics platform makes KPIs predictive — every metric is connected to a live data source, an AI finding, or an active work order, making the dashboard a decision tool rather than a history report. Book a demo to see the full KPI dashboard applied to your plant configuration.
MTBF & Failure Frequency Tracking
LivePer Asset Class
Mean Time Between Failures calculated per asset class, per unit, and per failure mode — updated from every confirmed fault event and work order outcome. iFactory also projects forward MTBF based on current fleet health scores, showing whether your MTBF trend is improving or degrading before the next failure event confirms it.
MTBF trend projected forward — not just reported backward
MTTR & Repair Efficiency
PerWork Order Type
Mean Time To Repair tracked from work order creation to close-out — segmented by fault type, crew, and asset class. iFactory surfaces which failure modes are consuming disproportionate repair time and which work order types consistently underperform their planned duration, enabling targeted improvement in repair process rather than blanket crew pressure.
MTTR broken down by fault type — not just averaged fleet-wide
EFOR & Availability Tracking
Real-timevs NERC GADS Benchmark
Equivalent Forced Outage Rate calculated continuously against NERC GADS industry benchmark and your own historical baseline. Every forced outage contribution is classified by failure mode and traced to its root cause asset. iFactory's AI projects EFOR forward based on current fleet health — showing whether you are tracking above or below your annual reliability target before the quarter closes.
EFOR projected vs target — not just reported after the quarter
PM Compliance & CBM Coverage
100%Task Tracking
PM compliance tracked per asset, per interval, and per crew — with overdue items escalated automatically before they become audit findings. Alongside traditional PM compliance, iFactory tracks CBM coverage: what percentage of your fleet is monitored by AI versus calendar-only, and what is the condition-detected vs schedule-triggered split across all closed work orders.
PM compliance + CBM coverage tracked on a single dashboard
OEE, Heat Rate & Performance KPIs
A × P × QContinuous OEE
Three-factor OEE calculated continuously at unit and fleet level — availability, performance, and quality losses decomposed and ranked by financial impact. Heat rate deviation from design tracked per unit against fuel cost benchmark. Every performance loss above a dollar threshold generates a work order automatically, making OEE a live operational trigger rather than a monthly report metric.
OEE loss above $X threshold auto-generates a work order
CMMS Backlog & Work Order KPIs
LiveBacklog by Priority
Open work order backlog tracked by priority tier, overdue percentage, and average age — segmented by asset class, crew, and work type. iFactory surfaces which backlog items carry the highest failure consequence if delayed, enabling planners to sequence the backlog by risk rather than by creation date. Backlog KPIs feed directly into the shift handover report generated automatically each day.
Backlog sequenced by failure consequence — not by creation date
Every KPI Live. Every Metric Linked to an AI Finding or Work Order. No Manual Calculation.
iFactory's analytics dashboard connects to your existing DCS, CMMS, and historian. Control room, management, and executive dashboards deployed within the standard 6-week deployment — no separate reporting project required.
The 12 KPIs Every Power Plant Analytics Dashboard Must Track
Below is iFactory's standard KPI framework for power generation analytics — each metric, its calculation source, its target benchmark, and how iFactory surfaces it in real time.
| KPI |
iFactory Calculation |
Industry Benchmark |
Dashboard Level |
| Reliability KPIs |
| MTBF (Mean Time Between Failures) | Live — from work order outcomes per asset class | Plant-specific historical baseline | Operations + Management |
| MTTR (Mean Time To Repair) | Work order open to close — per fault type | <4 hours (rotating machinery) | Operations + Management |
| EFOR (Equivalent Forced Outage Rate) | Live — classified by failure mode and asset | <4% (NERC GADS top quartile) | All levels |
| Forced Outage Frequency | Counted and projected from health score trends | Industry: 1.8 events/yr per 500MW unit | Management + Executive |
| Maintenance KPIs |
| PM Compliance Rate | Completed vs scheduled — per asset and crew | >95% on-time completion | Operations + Management |
| CBM Coverage Rate | AI-monitored assets vs total asset registry | Target: >80% critical assets | Management |
| Reactive vs Planned Work Ratio | Emergency vs scheduled work orders by count and hours | Target: <20% reactive | Operations + Management |
| Open Work Order Backlog Age | Average age by priority — risk-ranked | P1: <24 hrs / P2: <72 hrs | Operations |
| Performance KPIs |
| OEE (Overall Equipment Effectiveness) | A × P × Q — live per unit, per shift | Target: >85% (industry avg: 71–78%) | All levels |
| Heat Rate Deviation | Actual vs design BTU/kWh — continuous | Target: <1.5% from design | Operations + Management |
| Asset Health Score (Fleet Average) | 0–100 per asset, fleet-rolled-up every cycle | Target: fleet average >75 | Management + Executive |
| Maintenance Cost per MWh Generated | CMMS spend vs generation output — monthly trend | Benchmark: $4–$8/MWh (thermal) | Executive |
Benchmarks based on NERC GADS, EIA, and EPRI published data. Site-specific targets configured during iFactory deployment.
Our Numbers — Analytics Dashboard Performance Across iFactory Plants
Results from power generation plants running the full iFactory analytics KPI dashboard for a minimum 12-month period.
22%
Maintenance Cost per MWh Reduction
74%
Planned vs Reactive Work Ratio Achieved
Zero
Manual KPI Calculation Required
5–8%
Heat Rate Deviation Closed
3
Dashboard Levels — Control Room, Ops, Executive
Real-time
KPI Update Frequency
6 wks
To Full Dashboard Go-Live
See Your Plant's Current KPI Performance — Before Committing to Deployment.
iFactory's pre-deployment analytics assessment connects to your existing CMMS and historian to calculate your current MTBF, MTTR, EFOR, and OEE — showing your actual baseline before the platform goes live.
What Our Clients Say
"We were producing a monthly reliability report that took two engineers three days to compile from SAP, PI Historian, and spreadsheets. The numbers were always 3–4 weeks old by the time they reached the operations manager. iFactory replaced that report with a live dashboard that updated every cycle. Within the first month, our operations manager identified a heat rate deviation trend on Unit 2 that had been building for 9 weeks — completely invisible in the monthly report because it was gradual. The correction recovered $180,000 in fuel savings in the following quarter. The report that used to take 3 days now generates automatically every morning."
Head of Operations & Reliability
900MW Multi-Unit Coal Generating Station — Southeast Asia
Frequently Asked Questions
QCan iFactory calculate KPIs from our existing SAP PM and PI Historian data without a full platform deployment?
Yes. iFactory's pre-deployment assessment connects to your existing CMMS and historian in read-only mode and calculates your current MTBF, MTTR, EFOR, and PM compliance baseline — typically delivered within 5 business days. This serves as the benchmark against which post-deployment improvements are measured.
Book a KPI baseline assessment.
QCan we customise the KPI targets and dashboard layouts for different user roles?
Yes. iFactory deploys three dashboard levels — control room (real-time operational), management (shift and daily summary), and executive (weekly trend and financial impact). KPI targets are configured per plant during deployment and adjusted as performance baseline improves. Each dashboard level shows only the metrics relevant to that audience.
QHow does iFactory handle KPI data from a multi-site or multi-unit portfolio?
iFactory aggregates KPIs across all connected sites into a single fleet dashboard — every unit ranked by EFOR, health score, and maintenance cost per MWh simultaneously. Site managers see their own unit in detail; portfolio managers see cross-plant comparisons. All data stays on-premise at each site; the portfolio view aggregates at the management layer without transmitting raw operational data.
QDo KPIs automatically update when a work order is closed, or is there a manual sync step?
Fully automatic. When a work order closes in SAP PM or Maximo, iFactory reads the outcome within 60 seconds and recalculates all affected KPIs — MTTR, backlog age, PM compliance, and reactive-vs-planned ratio — without any manual intervention. There is no end-of-day batch sync or manual upload step.
Continue Reading
Replace Your Monthly Reliability Report With a Live Analytics Dashboard — In 6 Weeks.
iFactory connects to your existing CMMS, DCS, and historian. 12 core KPIs calculated automatically. Three dashboard levels deployed. On-premise. NERC CIP compliant from day one.
MTBF / MTTR / EFOR Live
OEE Continuous
Heat Rate Deviation
PM Compliance Tracking
No Manual Calculation
