Asset Dynamics and Covaris joint paper at EEA Conference 2025
Asset Dynamics presented a paper jointly developed with Covaris at the EEA Conference in Christchurch on 9 September 2025. Co-authored by Dr Jules Congalton, Dr Bob Platfoot of Covaris, and Andrew Gatland, the paper shares case studies that involve using data typically available to organisations in new ways — to better understand risk, optimise maintenance, and align asset information strategy with desired asset management outcomes.
Sweating the Data: Three Ways Companies are Diving Deeper to Understand Asset Performance and Risk explored how organisations can realise greater value from their asset management data assets. Through three in-depth case studies, the paper showed how organisations can:
Develop quick-fire asset risk profiles using available time-series data to complement and calibrate asset health indicators
Strike an optimal balance of preventive maintenance and inspection tasking that manages down the risk of asset failures, while ensuring limited field resources are deployed to the highest value tasking
Align asset data with strategic asset management goals, ensuring the collection and use of only the most critical, decision-driving data
The full paper and slides are available to download below.
Abstract
Over the past decade, organisations managing electricity generation, distribution, and transmission assets in New Zealand have achieved significant progress in enhancing their Enterprise Asset Management Systems and other asset management information systems. These advancements have laid the foundation for more effective data-driven decision-making, enabling organisations to gain clearer insights into asset conditions, network performance, and fault data. However, despite these advancements, many organisations are failing to fully capitalise on the potential value of their data.
This paper encourages organisations to push boundaries in their use of asset management data to unlock untapped opportunities. Three case studies present examples of high-value insights that can be gained from asset management data already held by organisations. One opportunity lies with improving risk monitoring by developing stochastically determined alarm limits and risk profiles based on quantitative time-series condition measurements, enabling targeted interventions that minimise downtime, optimise resource allocation, and enhance overall asset reliability.
Another area of unrealised value is the optimisation of preventive maintenance practices. By analysing PM routines and inspection results more deeply, organisations can determine whether inspection frequencies are sufficient to detect asset deterioration without being excessive, and highlight overlooked failure modes to enable refined maintenance strategies.
Finally, aligning data management with asset management processes is crucial but often overlooked. By focusing on critical data points that support key processes and decisions, organisations can achieve and demonstrate progress towards their strategic goals.
Keywords: risk management, asset condition, maintenance planning, renewals planning, analytics
Interested in unlocking more value from your asset management data?Asset Dynamics works with infrastructure organisations to develop analytics capability and improve asset management decision-making.
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