New Mexico Power Gen Boosts EAM ROI with Data Strategy
New Mexico’s largest power generator improved EAM ROI with a Data Strategy Standard, full asset hierarchy, and master data configuration—guided by...
1 min read
Doug Robey | CMRP, CRL
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Published
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A major North American power generation company discovered that implementing an EAM system was only part of the solution. Poor asset data, inconsistent standards, and limited cost visibility were preventing the organization from realizing the full value of its Maximo investment.
By establishing a stronger data foundation, the company improved maintenance efficiency, increased confidence in its EAM data, and created measurable operational savings.
The organization faced several common asset data challenges:
Without reliable data, the organization struggled to make informed maintenance decisions and maximize the value of its technology investment.
Nexus Global used Data Optimizer™ and Strategy Optimizer™ to establish standardized master data and improve the company's maintenance strategies.
The approach helped create a more reliable foundation for Maximo while improving visibility, consistency, and maintenance decision-making.
The data and maintenance strategy improvements delivered measurable results:
40% reduction in non-value maintenance tasks
50% decrease in indirect process costs associated with poor data
The organization also achieved:
An EAM or CMMS can only perform as well as the information supporting it. Standardized asset data helps organizations improve maintenance decisions, strengthen planning, and gain greater value from their technology investments.
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Accurate, standardized asset data improves maintenance planning, reporting, and decision-making. Poor-quality data can create inefficiencies, increase maintenance costs, and limit the return on investment from Enterprise Asset Management (EAM) systems such as IBM Maximo.
Data standardization eliminates inconsistencies, duplicate records, and unnecessary maintenance activities. In this Nexus Global case study, improvements contributed to a 40% reduction in non-value maintenance tasks and a 50% decrease in indirect process costs associated with poor data.
New Mexico’s largest power generator improved EAM ROI with a Data Strategy Standard, full asset hierarchy, and master data configuration—guided by...
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