Synopsys EDA Data Analytics (.da) is an extension of the Synopsys.ai full-stack EDA suite that utilizes AI-driven analytics to enhance decision-making throughout the integrated circuit (IC) design, testing, and manufacturing lifecycle. It helps chipmakers by parsing large amounts of unstructured data generated during the design process to accelerate root-cause analysis and provide actionable insights.

The tool aggregates and leverages data across various stages of the EDA stack, including architecture exploration, design, testing, and manufacturing. This integration allows for enhancements in key areas such as power, performance, and area (PPA), ultimately leading to improved engineering productivity and better product quality.

Synopsys EDA Data Analytics is divided into three packages: Synopsys Design.da, which provides actionable design insights; Synopsys Fab.da, which extracts process control data to enhance operational efficiencies; and Synopsys Silicon.da, which focuses on silicon monitoring and diagnostics to improve quality and yield. Together, these packages aim to catch potential issues early in the design and manufacturing processes.