Asset Dynamics and Top Energy partner on data health monitoring
Asset Dynamics partnered with Top Energy, the electricity distributor for the Far North, to provide data health monitoring and asset information governance services using DataFrame, Asset Dynamics' data health platform.
DataFrame provides infrastructure managers with near real-time feedback on asset management data risks and opportunities, enabling critical improvements to be prioritised and delivered. At Top Energy, the solution was applied to monitor the quality of high-priority data captured across the asset lifecycle, with monthly reviews by asset management and information subject matter experts to drive targeted improvements. Read more about how DataFrame works.
Top Energy CIO Gordon Ramsay said good data health was crucial to making good decisions.
“In our industry, you simply can’t afford to be questioning the quality of your data. Having timely access to accurate, complete and consistent data is key to making good decisions around things like maintenance, investment and resourcing”
Asset Dynamics Director Andrew Gatland said the challenge was widespread across the infrastructure sector.
“Just as it’s vital to understand the health of your assets, it’s absolutely crucial to have a clear picture of your data health. International research shows that only about a quarter of asset managers have full confidence in the accuracy of their organisation’s asset information. Organisations with high levels of data health make better asset management decisions, with higher levels of confidence — resulting in the right work being completed on the right assets at the right time, and better outcomes for safety, compliance, and customers.”
Callaghan Innovation grant
The Top Energy project coincided with Asset Dynamics securing a Callaghan Innovation Ārohia Seed Grant to validate the DataFrame solution across other infrastructure sectors. The grant supported work to gather evidence on the commercial feasibility of DataFrame across a range of infrastructure sectors in New Zealand and Australia, and to advance the solution architecture to support scalability.
The full DataFrame case study for Top Energy is available to download.
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