Ask any maintenance manager how good their asset data is, and you'll usually get a shrug followed by a guess. "Pretty good, I think." "Better than it used to be." "Depends which plant you ask." Nobody is lying — they genuinely don't know, because almost no organisation actually measures the quality of its Enterprise Asset Management (EAM) data. They measure uptime, cost, and compliance. Data quality is assumed, not assessed. That gap is expensive. Poor asset hierarchies, inco

Most organisations that run physical assets — plants, fleets, networks, pipelines — can tell you their uptime, their maintenance spend, and their safety record. Far fewer can tell you how their asset management practices compare to a recognised external standard. Not "are we doing okay by our own historical standards," but "how do we actually measure up against ISO 14224 and ISO 55000, the frameworks the rest of the industry is being measured against too." That's not a small

Every asset-intensive organisation eventually has the same conversation: we've invested heavily in SAP, Oracle, or Maximo, so why doesn't our asset management actually feel any more mature than it did before the system went live? The honest answer is usually that the software was never the hard part. ERP platforms are extremely capable of supporting excellent asset management — but only if a handful of foundational things are done deliberately, rather than left to whatever co