The biggest challenges of data-driven manufacturing

By Harvard Business Review

May 24, 2016

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The widespread deployment of low-cost sensors and their connection to the internet has generated a great deal of excitement (and hype) about the future of manufacturing. The Internet of Things (IoT) is centered on the application of big data and analytics to creating the next generation of manufacturing: using data to reduce costs through next-generation sales and operations planning, dramatically improved productivity, supply chain and distribution optimization, and new types of after-sales services.

But to get beyond the hype of data-driven manufacturing, managers need to understand some underlying challenges and paradigm shifts, including the transition from time-triggered to event-triggered control systems.

Read the full analysis at hbr.org.

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