From EAM Data to Executive Decisions

Enterprise Asset Management systems like Hexagon EAM are rich sources of operational data. Work orders, maintenance history, asset failures, inventory movements, and compliance records are all captured in detail. Yet for many organizations, this data remains locked inside transactional screens and static reports.

The challenge is not data availability—it’s visibility and decision readiness.

This is where Power BI for Asset Management delivers transformational value.

Why Native EAM Reporting Isn't Enough

Traditional EAM reports are designed for data extraction, not decision-making. They often:

  • Require deep system knowledge
  • Focus on historical data
  • Lack cross-functional views
  • Are difficult to customize for different roles

As a result, leaders struggle to answer simple but critical questions:

  • Where are we losing availability?
  • Which assets are driving downtime and cost?
  • Are we meeting maintenance and compliance targets?
  • Where should we act first?

Power BI as the Asset Intelligence Layer

Power BI enables organizations to transform Hexagon EAM data into interactive, role-based dashboards that surface insights instantly.

By modeling EAM data properly, Power BI dashboards can deliver:

  • Real-time operational visibility
  • Trend analysis across sites and asset classes
  • Drill-down from executive KPIs to root causes
  • Consistent metrics across maintenance, reliability, and inventory

This turns EAM data into a single source of truth for asset performance.

Key Asset Management Dashboards That Matter

Well-designed Power BI dashboards focus on decisions, not visuals alone. Typical asset intelligence views include:

Work Order & Maintenance Performance

Track open vs closed work orders, backlog trends, preventive maintenance compliance, and schedule adherence—helping teams identify execution gaps early.

Asset Reliability & Downtime Analysis

Visualize downtime drivers, MTBF, MTTR, repeat failures, and critical asset behavior to support reliability-centered maintenance.

Maintenance History & Forecasting

Analyze historical maintenance patterns alongside future workload forecasts to plan resources more effectively.

Parts & Inventory Intelligence

Understand stock usage, aging inventory, stock-out risk, and excess parts to balance availability and cost.

Risk & Exception Monitoring

Highlight overdue work, high-risk assets, compliance gaps, and abnormal trends through alerts and exception views.Built for Different Roles, One Intelligence Platform

Power BI enables tailored experiences without duplicating data:

  • Executives see high-level KPIs and risk indicators
  • Plant managers track site-level performance
  • Maintenance leaders focus on backlog, compliance, and execution
  • Reliability engineers dive into failure trends and asset behavior

Everyone works from the same data—just viewed through the right lens.

Extending Power BI with Predictive & AI Insights

When Power BI is combined with advanced analytics and AI models, dashboards evolve from descriptive to predictive.

Enhancements can include:

  • Failure risk scoring
  • Maintenance workload forecasting
  • Asset criticality prioritization
  • Integration with image analysis and inspection data

This bridges operational reporting with intelligent asset management.

Power BI + Hexagon EAM: A Practical Path to Intelligence

Power BI does not replace Hexagon EAM—it unlocks its value.

By overlaying intuitive dashboards on top of trusted EAM data, organizations gain faster insights, better alignment, and stronger decision confidence—without disrupting existing processes.

Final Thoughts

Asset-intensive organizations don’t need more data—they need clarity.

Power BI for Asset Management transforms Hexagon EAM data into actionable intelligence, helping teams move from reactive reporting to proactive, insight-driven decisions.

It’s often the first—and most impactful—step toward smarter, AI-enabled asset management.