Asset Dynamics at the Asset Management Council New Zealand Chapter Symposium 2025
Andrew Gatland presenting at the Asset Management Council New Zealand Chapter Symposium 2025, AUT
Asset Dynamics Director Andrew Gatland presented at the Asset Management Council New Zealand Chapter Symposium 2025, held at AUT. Themed "Delivering Value through Innovation", the one-day event has become a key fixture for asset management professionals seeking cross-sector technical content, with presenters from the New Zealand Infrastructure Commission, Transpower, KiwiRail, Auckland Transport, and others.
Andrew's presentation, "Sweating the Data Assets", co-developed with Dr. Jules Congalton and Dr. Bob Platfoot of Covaris, argued that infrastructure owners can do more to unlock value from data already held in their asset management information systems. Three case studies were presented.
Understanding and monitoring asset risk
The first case study introduced a complementary approach to asset risk profiling using quantitative time series measurement data. Rather than relying solely on external reference datasets, the technique uses population statistics derived from an organisation's own historical measurement data to set stochastic alert limits and calculate relative risk for individual equipment units. Because the resulting risk statistic is dimensionless, it can be aggregated across asset systems such as zone substations or feeders, enabling portfolio-level risk prioritisation and validation of existing risk models.
Preventive maintenance optimisation
The second case study examined how work order data can be used to identify opportunities to optimise preventive maintenance strategies. Two practical heuristics were introduced: one to identify assets where preventive maintenance is insufficient and corrective work is high, and another to identify assets where preventive maintenance may be excessive relative to actual failure rates. Both can be applied at scale across large asset fleets to prioritise improvement effort and realise labour savings without incurring additional risk.
Aligning data strategy with asset management goals
The third case study considered the alignment between asset management processes and data and information strategy. Drawing on experience with an electricity distributor, the case study described how establishing an asset information governance group and implementing targeted data quality monitoring produced measurable improvements within 90 days, including a 50% improvement in subtransmission data quality and 60% improvement in low voltage assets. The case study demonstrates that focusing data improvement effort on the data that matters most to key asset management decisions delivers faster and more sustainable results than broad data quality programmes.
Asset Information Bridge — linking asset management processes to data requirements
The full paper, co-authored with Dr. Jules Congalton and Dr. Bob Platfoot of Covaris and presented at the EEA Conference 2025, is available on the Asset Dynamics website.
Asset Dynamics thanks the Asset Management Council New Zealand Chapter Committee for the opportunity to contribute to this excellent event.
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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