Data collected from products and manufacturing processes feeds back into Engineering Simulation and Electronics & Systems validation, while Product Lifecycle Management manages performance history and continuous improvement.
Data Analytics & Optimization
Turn operational and engineering data into actionable insights. Analytics and machine learning tools help organizations monitor systems, predict failures, and optimize product performance and industrial processes.
What This Capability Solves
Industrial systems generate large amounts of operational data, but much of it is unused. Without analysis, organizations react to failures instead of anticipating them, leading to downtime, unplanned maintenance, and inefficient operation.
How We Address These Challenges
Data & Optimization applies analytics and machine learning to operational and engineering data to detect anomalies, predict failures, and improve performance. By turning real data into actionable insights, teams reduce downtime and continuously optimize system reliability.
Core Data & Analytics Technologies
These platforms analyze operational and engineering data to monitor performance, detect anomalies, and support predictive maintenance and continuous improvement across industrial systems.
Connection With Other Capabilities
Data & Optimization uses real operational information to improve the engineering workflow.
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