Advanced analytics, predictive maintenance, MAS AI capabilities — all of it depends on a foundation most organizations haven’t fully built yet.
Three fundamentals that have to come first
1. An asset hierarchy that matches reality. If assets aren’t structured consistently, hierarchy integrity breaks down, maintenance history is fragmented, and reporting is meaningless.
2. Work management discipline. Consistent planning, failure coding, and closeout quality are what turn work orders into usable data. Without them, the history in Maximo reflects workarounds, not actual work.
3. Governance that doesn’t fade. Someone has to be accountable for keeping standards alive after the project team leaves. Monthly data quality reviews, quarterly PM updates, defined ownership through data standard enforcement — that’s what separates improvement that lasts from improvement that stalls.
Get these right first. Everything advanced becomes significantly easier — and significantly more valuable — when they’re in place.