New Mexico’s largest power generation producer engaged Nexus Global to develop a Data Strategy Standard and configure a complete asset hierarchy and master data. The result: cleaner data, better EAM adoption, and faster ROI—supported by APM methods, tools, and coaching.
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The utility’s EAM value was constrained by inconsistent asset hierarchies, incomplete master data, and uneven code usage—making reporting and planning unreliable.
With over half a million customers, reliability is a top priority for the power company. "Maintaining reliability is an ongoing process, and we are constantly investing to ensure that our thousands of miles of transmission and distribution lines, and hundreds of substations can continue to provide the electricity our customers rely on,” notes an executive leader. “It all starts by knowing what we have and getting our master data correct."
Design hierarchy for maintenance reporting; publish naming & roll-up rules
Assign data owners; implement change control and audits
Define equipment classes with required attributes and units
Standardize naming patterns; validate with dropdowns/picklists
Curate short, owned code lists; require closeout coding
Train on failure vs. cause; weekly reviews for compliance
Configure picklists, templates, and closeout checklists
Coach planners and supervisors to sustain discipline
“Through initial discussions, it was apparent the client’s current EAM system was not delivering as promised,” explains Nexus Global CEO, Larry Olson. “Rather than the EAM working for them, the team was working for the EAM. They required an immediate turnaround of the situation to make the EAM work as intended. Our recommendation was to develop a data standard for the whole organization.”
Expect faster work planning, more accurate cost rollups, and reliable KPI reporting (MTBF/MTTR, backlog, bad actors)—driving higher adoption and visible ROI from the EAM investment.
"By applying our strategic approach to Asset Performance Management (APM), the uncertainty of what field assets were maintained will now be transparent within the client’s EAM. Additionally, the data structure will be built in accordance with a globally recognized KKS (Identification System for Power Stations) standard," confirmed Larry Olson.
Build hierarchy for maintenance—not projects
Keep code sets short, curated, and owned by a data steward
Make closeout coding mandatory; review weekly
What blocked EAM ROI?
Inconsistent hierarchy, incomplete master data, and low code compliance undermined reporting and adoption.
What did the project include?
A documented Data Strategy Standard, complete asset hierarchy and master data build, code sets, and EAM configuration with coaching.
What improvements should utilities expect?
Faster planning, accurate cost rollups, trustworthy KPIs (MTBF/MTTR), and higher user adoption.
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