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Data Silos Are a Liability Risk for Maintenance Contractors

Fragmented asset intelligence systems are creating costly blind spots in industrial facilities, with real consequences for maintenance and inspection contractors working from incomplete information.

FieldNews Staff |

Data Silos Are a Liability Risk for Maintenance Contractors

According to Inspectioneering Journal, fragmented data systems across industrial facilities are creating dangerous gaps in asset health visibility. Writing in the May/June 2026 issue, Antea executives Floyd Baker and Mustapha Mazouzi argue that most facilities operate with disconnected interpretations of asset condition spread across CMMS platforms, inspection databases, historians, and spreadsheets. The global cost of corrosion alone exceeds $2.5 trillion annually, per the AMPP IMPACT Study, with roughly one-third considered preventable. Unplanned outages in large industrial facilities are now commonly estimated at more than $500,000 per hour.

What It Means for Subcontractors

  • Maintenance and inspection contractors often receive scoped work based on incomplete data, meaning your team may be working from outdated or partial asset histories that don’t reflect actual operating conditions.
  • When failures occur due to fragmented data, liability questions follow, and contractors executing work on mischaracterized assets can find themselves in difficult positions.
  • Subcontractors who proactively document findings and flag data inconsistencies to facility owners create a clearer paper trail and reduce their exposure when something goes wrong.
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