From Reactive Service to Connected Intelligence
Machine manufacturers need complete visibility into the health and performance of machines installed at customer sites. Traditional service models rely on reactive maintenance, resulting in unexpected downtime, increased warranty costs, and customer dissatisfaction.
The Industrial Data Acquisition Platform (IDAP) enables OEMs to securely collect operational data, monitor assets remotely, detect anomalies, and apply predictive analytics - integrating PLCs, CNCs, sensors, SCADA, and edge devices into one cloud-based Industrial IoT ecosystem.


IDAP continuously streams machine data to the cloud, giving OEMs and their customers a live, unified view of asset health, utilization, and performance - from anywhere.

A centralized view of the entire installed base, with drill-down into individual assets.




The Industrial Data Acquisition Platform empowers machine manufacturers to transition from reactive support to a connected, data-driven service model. By securely collecting machine data from geographically distributed assets, the platform enables realtime monitoring, predictive maintenance, and actionable analytics that improve equipment reliability, reduce operational costs, and create new opportunities for service-based revenue.
This scalable Industry 4.0 solution supports global machine fleets, integrates with heterogeneous industrial automation systems, and provides OEMs with a competitive advantage through intelligent asset management and predictive insights.
| KPI | Target Improvement |
|---|---|
| Machine Availability | +15 – 20% |
| OEE | +10 – 18% |
| Unplanned Downtime | −30 – 50% |
| Maintenance Cost | −20 – 35% |
| Field Service Visits | −40 – 70% |
| MTTR | −25 – 40% |
| MTBF | +20 – 35% |
| Energy Consumption | −10 – 20% |
| Spare Parts Inventory | −15 – 25% |
| Warranty Claims | −20 – 30% |