This Intel white paper details how siloed manufacturing data was transformed into unified insights through a centralized, scalable data warehouse. Legacy fragmented databases hindered traceability, analytics, and decision-making, slowing operations and increasing costs. By consolidating data across MES, SPC, IoT, and supply chain systems, Intel improved query speed from 30 minutes to three seconds, enabled predictive maintenance, and enhanced yield analysis. Key strategies include denormalization, resilient ETL pipelines, compression-based lifecycle management, and process-specific security to protect foundry customer data. The approach supports AI, digital twins, and future edge and federated learning innovations.

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