Melbourne – If Your Asset Data Gets Worse Over Time, You’re Doing It Wrong
Most organisations plan a major asset data capture every five to seven years. The exercise is expensive, disruptive and, on the day it lands, accurate. From that day forward it decays. Assets get replaced and nobody records it. Condition ratings age. Work orders get raised against plant that no longer exists.
We have treated this as the natural order. It isn’t. It is the predictable result of treating capture as an event rather than a practice, and of building a business case around a single point in time.
Two things have changed. Capture technology is now accessible enough that in-house teams, contractors and maintenance staff can correct and extend the record as they work, instead of waiting for the next big project. And asset management and maintenance platforms now integrate well enough that every inspection, repair and replacement feeds back into the asset record and lifts the fidelity of what you know.
Asset data should start from a solid foundation and get better, not worse.
This session, presented by Trent Taylor, the Managing Director of Kairos Strategies, covers what actually degrades between capture cycles and why, what a maintain-in-between model looks like in practice, how feedback loops between systems change the quality of asset intelligence, and what it means for how you fund and scope your next capture exercise.
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