Challenge
You’re running multi-million-dollar gear off a spreadsheet.
Mining operates at a scale where every asset is big, complex and expensive. Yet many maintenance teams still rely on spreadsheets to manage inspections, servicing and work orders. Excel ends up doing the job by default, not because it’s the right tool, but because it’s the only thing that can stretch far enough to hold everything.
But a spreadsheet can’t account for real-world conditions. Time-based schedules rarely match actual utilisation. Critical runtime and condition data live on the machine, not in the maintenance plan. Engineering, reliability and operations teams often work from different versions of the truth, making alignment difficult.
With no connection between what assets are actually doing and how they are being maintained, teams are forced into a reactive mode, firefighting problems instead of preventing them.
Risk
When maintenance schedules aren’t tied to actual usage, assets are either over-serviced or under-serviced. Over-servicing wastes time, parts and contractor hours. Under-servicing dramatically increases the risk of failures on mission-critical machinery.
Missed inspections and delayed work orders hide easily in spreadsheets. By the time gaps are noticed, they’ve often already caused downtime. Extremely costly downtime.
Without a unified, real-time source of truth, teams start making decisions based on mismatched files and assumptions. That increases operational risk, slows repairs and creates uncertainty around asset health.
Solution
Perspio™ brings mining asset data together so maintenance teams can plan based on what machines are actually doing, not what a spreadsheet suggests.
Perspio™ ingests runtime, fault codes and sensor data from large mining assets, and automatically triggers maintenance activities based on true utilisation thresholds. Clean, fused data flows into existing CMMS or ERP systems, giving planners reliable information without changing their core tools.
The result is a shift from reactive, spreadsheet-driven chaos to predictable, data-driven maintenance. Engineering, reliability and operations all work from the same source of truth, reducing surprises and improving asset uptime.
Ready to ditch Excel and modernise your maintenance strategy? Speak with the team.
