Utility Asset Management Case Study: Centralising 250,000+ Asset Records
About The Client
The client is a large energy and utility provider managing an extensive portfolio of infrastructure and operational assets across multiple service regions. Its asset base included substations, transformers, meters, distribution equipment, field assets, and other critical infrastructure. Asset information was distributed across enterprise asset management systems, maintenance applications, GIS platforms, spreadsheets, and legacy databases. As the network expanded, inconsistent records and fragmented processes made it harder to maintain a reliable view of asset condition, location, maintenance history, and operational status. The organisation needed a structured asset management model to improve data quality, maintenance coordination, lifecycle visibility, and operational decision-making.
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Utility Assets Managed
0%+
Asset Data Accuracy
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Asset Categories Standardised
0%
Reduction in Maintenance Backlog
The Challenge
The utility managed a large and geographically distributed asset portfolio supporting essential service delivery.
Asset information had accumulated across multiple systems over time. Equipment identifiers, locations, specifications, maintenance records, condition information, and operational status were not always consistent between platforms.
Incomplete asset records created additional challenges for maintenance teams. Missing specifications, outdated status information, duplicate records, and inconsistent asset hierarchies made planning and prioritisation more difficult.
Preventive and corrective maintenance activities also needed better coordination. Teams required visibility into maintenance schedules, outstanding work, asset history, and recurring issues to determine where intervention was most important.
Field activities created continuous changes to asset information. New installations, replacements, inspections, repairs, and retirements needed to be reflected accurately in enterprise systems.
The organisation needed a scalable asset management approach that could connect asset data, maintenance activities, field information, and operational reporting across the utility network.
What Did KGS Do
KGS began by assessing the client's asset portfolio, management systems, maintenance processes, asset hierarchies, data quality issues, field workflows, and reporting requirements.
More than 250,000 asset records across 30+ equipment and infrastructure categories were brought within structured asset management workflows.
KGS standardised priority asset information, including identifiers, locations, specifications, classifications, status, maintenance history, and other relevant attributes. Data validation processes identified incomplete, duplicated, inconsistent, and outdated asset records, with exceptions routed through defined workflows for investigation and correction.
Maintenance information was structured around asset criticality, service schedules, work history, condition information, and outstanding requirements, giving teams greater visibility into preventive and corrective maintenance activities.
KGS also strengthened workflows connecting field activities with central asset records so installations, inspections, repairs, replacements, and retirements could be reflected more consistently across systems. Dashboards provided visibility into asset status, maintenance activity, backlog, data quality, and other operational indicators.
The Results
- Centralised and managed 250,000+ utility asset records
- Maintained 99%+ accuracy across targeted asset datasets
- Standardised information across 30+ asset categories
- Reduced targeted maintenance backlog by 25%
- Improved visibility into asset condition, maintenance history, and operational status
- Strengthened coordination between field operations and enterprise asset management processes
What did the client say?
“KGS helped us establish a much clearer view of our asset portfolio across systems and operating regions. Asset records are more consistent, maintenance teams have better visibility into outstanding work, and field updates flow into our management processes more effectively. We can now make asset decisions using information we have much greater confidence in.”
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