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Manufacturing Analytics is the practice of applying advanced data analysis techniques to manufacturing processes in order to improve efficiency, quality, and productivity. It leverages data from machines, sensors, ERP/MES systems, and supply chains to deliver insights that help manufacturers make better decisions. Key areas of Manufacturing Analytics include: • Production Monitoring – Real-time tracking of machine performance, downtime, and throughput. • Predictive Maintenance – Using sensor data and AI to predict equipment failures before they happen. • Quality Analytics – Identifying root causes of defects and ensuring consistent product quality. • Supply Chain Optimization – Reducing lead times, optimizing inventory, and minimizing disruptions. • Process Optimization – Leveraging machine learning and statistical models to fine-tune operations. • Energy & Cost Analytics – Monitoring energy usage and cost drivers for efficiency