Predictive maintenance
Predict equipment failures before they happen using sensor data.
-40%
unplanned downtime reduction
The problem
No reliable steering on predictive maintenance.
The current process is manual or inconsistent.
Decisions come too late due to weak signals.
Costs and lead times drift without control.
Prerequisites: required data & tools
Required data
- IoT / sensor data
- De maintenance history
- CMMS
Compatible tools
- Azure IoT
- AWS IoT
- PTC ThingWorx
- custom Python
Not sure you have the data? Our Maturity Auditor can assess your situation in two weeks.
Explore the Maturity Auditor →What we implement in 6-12 months
In 6-12 months: Predict equipment failures before they happen using sensor data. with measured impact on unplanned downtime reduction.
Weeks 1-2
Diagnosis
Weeks 3-6
Build
Week 7+
Delivery
Concrete deliverables
Business framing and decision rules for predictive maintenance
Operational engine for predictive maintenance
Steering dashboard with alerts
Action playbook and governance
Expert insight
30–50% reduction in unplanned downtime. Requires IoT infrastructure.
— Datasive, expertise terrain
Tech maturity
High
Mature solutions, fast deployment
Medium
Maturing tech, requires customization
Emerging
Cutting-edge innovation, R&D approach
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Maturity Auditor
Scorecard + roadmap 90 jours pour cadrer la transformation data/AI.
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