Industry
Manufacturing
Connect ERP, production, and quality data for operational intelligence.
OEEScrap rateOn-time delivery
Manufacturing KPIs
Live previewOEE
↑ 12%
Scrap rate
94.2%
On-time delivery
8.4×
Performance trend
Challenges
- OEE and throughput metrics calculated manually — introducing 6–12 hours of decision lag per shift
- Quality issues detected after shipment — scrap and rework costs averaging 2–5% of production value
- Production planning disconnected from demand signals — forecast accuracy gaps of 15–25% vs. actual demand
Typical KPIs
- OEE
- Scrap rate
- On-time delivery
- Capacity utilization
Outcomes
- Real-time production dashboards by line and plant
- Quality trend analysis linked to root causes
- Demand-driven production planning visibility
Sources we connect
SAPOSIsoft PIRockwell AutomationAzure Data FactoryHoneywellMES / SCADA
How it works
01
Connect
Link ERP, MES, and SCADA to a unified analytics lakehouse
02
Model
Build semantic models with automated data quality checks
03
Deploy
Go live with role-specific dashboards in 4–6 weeks