The Cost of an Unplanned Downtime
Every hour of downtime costs twice as much: in lost production and in emergency repairs
According to Siemens, unplanned downtime costs the world’s 500 largest companies 11% of their revenue—nearly $1.4 trillion a year (The True Cost of Downtime 2024). Calendar-based predictive industrial maintenance replaces parts that are still in good condition while overlooking those that are already failing. Meanwhile, asset data resides in the plant (OT) and work orders in another system (IT), with no connection between them. The result is a maintenance decision made based on information that arrives too late.
How we’ll handle it
Industrial Predictive Maintenance: From Asset Data to Decision-Making
We start with what you already have: PLCs, SCADA, data loggers, your maintenance system, and your Microsoft licenses. We don’t replace just for the sake of replacing. For industrial predictive maintenance, we integrate IT/OT convergence and feed the data into analytics and data governance so that alerts reach the right people who can take action.

What’s Included
Concrete deliverables, not just another dashboard
How We Work
Four-phase industrial predictive maintenance, with before-and-after measurements
If you didn’t cross the finish line, it doesn’t count as a result.
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Where it applies
Same method, assets in each sector
Triple Impact
Profitability, sustainability, and talent all in one project
Frequently Asked Questions
Frequently Asked Questions
Diagnosis
Which asset costs you the most when it stops?
We help you prioritize predictive industrial maintenance by establishing a baseline and conducting a measurable pilot project.
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