The Semiconductor Data-Driven Decision Shift
4o The Data Explosion Across The Semiconductor Lifecycle The semiconductor industry has always been data-intensive. However, the conversation is now shifting from quantity to quality. It is no longer about how much data we generate, but how well that data is connected, contextualized, and interpreted. Semiconductor data is fundamentally different from generic enterprise or consumer data. A leakage current reading, a fail bin code, or a wafer defect has no meaning unless it is understood in the context of the silicon process, test environment, or design constraints that produced it. In the early stages of product development, design engineers generate simulation data through RTL regressions, logic coverage reports, and timing closure checks. As that design progresses into the fabrication phase, silicon data begins to accumulate, including inline […]
