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11:25

12:05

August 6, 2026

From Data Abundance to Decision Conviction: Trusted, Risk-Based Maintenance at Fonterra

Perspective
Root Cause Stage
Day 01

Maintenance has solved data collection but stalled on data conviction — across the sector, 78% of organisations collect more data than they can analyse and 67% don’t trust it enough to act.

At Fonterra, critical asset information sat fragmented across SAP, historians, condition tools and people’s heads. Through our Digital Maintenance programme with AVEVA, we are turning that data into standardised, risk-based maintenance strategy -= using Asset Strategy Optimisation to digitise strategy, condition insight and decision governance, while execution stays anchored in SAP.

This session shares, practically, how we convert abundant data into trusted maintenance decisions.

  1. The paradox: why data-rich still means insight-poor and low trust
  2. Fonterra’s Digital Maintenance North Star: strategy, condition insight, governance
  3. Where AVEVA Asset Strategy Optimisation turns data into risk-based strategy
  4. Making insight trusted: data ownership, ISO 14224, governance over technology
  5. A tripartite operating model that removes translation loss between partners
  6. Early proof from first site go-lives, plus five lessons
Topics:

Data Abundance Without Insight

Speakers

Aaron Goldsbury
Aaron Goldsbury

Chief Engineer – Global Engineering

Fonterra

Ben Robinson
Ben Robinson

Programme Director – Predictive Maintenance Global Engineering

Fonterra

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