Scaling Self-Service Analytics Across Global Facilities Operations – Intel Corporation

Supan Shah, Analytics Engineer, Intel Corporation

Intel scaled outlines how they self-service analytics across its global facilities organization, where mission-critical systems support semiconductor manufacturing around the clock and even minor downtime can have major business impact. The presentation explains how Intel built the right data foundation by connecting multiple historians and other operational data sources into Seeq to create a single, contextualized view for engineers, then used mission teams, automated content creation, and standardized analytics packages to scale adoption efficiently across thousands of assets and diverse engineering disciplines. It also highlights the importance of communities of practice, local support, governance, simplified access roles, and formal training to help users build trust and proficiency with the platform. More importantly, the talk shows that successful adoption is not just about deploying a new tool, but about creating a repeatable operating model that supports engineers, standardizes good practices, and enables analytics to scale across a complex global operation.