Data in manufacturing
manufacturing data: sensor and machine data (IoT), OEE and quality metrics, supply-chain and traceability data, and MES/ERP integration.
Manufacturing runs on data that spans the plant floor and the boardroom: sensor streams from PLCs and SCADA systems, MES production records, quality inspection logs, supply chain and inventory feeds, and equipment maintenance histories. This block builds fluency in how manufacturers structure, source, and evaluate this data, from OEE calculations to defect tracking to predictive maintenance datasets. You will examine the metrics that define data quality and reliability in industrial settings, understand the regulatory and cybersecurity frameworks governing industrial data (including IP protection and OT security), and learn the audit practices that keep data trustworthy across interconnected factory systems. The focus stays on data infrastructure, measurement, and governance, not general financial analysis.
What you'll master
- Identify and map the core data sources across a manufacturing operation, from IIoT sensors to ERP and MES systems
- Calculate and interpret key manufacturing analytics metrics such as OEE, first-pass yield, and MTBF/MTTR
- Assess data quality and governance maturity across production, quality, and supply chain data pipelines
- Apply industrial data privacy, IP protection, and OT security checks to identify governance gaps