
Industrial Data Processing
Industrial data processing involves industrial data management to ensure quality and usability, using platforms to integrate information, and applying industrial data science techniques to extract value for improving efficiency, reducing waste, and optimizing operations in an Industry 4.0 environment and also to generate actionable insights and drive decision-making, as it turns analytics from a rear-view mirror into a real-time guidance system, where decisions are based on live operational intelligence,
Real-Time Production Monitoring
Overall Equipment Effectiveness Monitoring
Production Scheduling & Tracking
Asset Health Monitoring & Predictive Maintenance
Utility, Energy, effluent Monitoring & Management
Recipe / Batch Management
Supply Chain Optimization
Plan wide Alarm integration
Data Historian & Reporting