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 in the integrated circuit (IC) design, test, and manufacturing lifecycle. It helps chipmakers by parsing large volumes of previously unstructured data to accelerate root-cause analysis and provide actionable insights, ultimately improving power, performance, and area (PPA) metrics.

The Synopsys EDA Data Analytics tools, including Synopsys Fab.da, extract process control data from fabrication facilities to enhance operational efficiencies. This leads to improved product quality and fab yield. By analyzing the massive amounts of data generated during chip manufacturing, these tools help identify potential issues early, thereby reducing manufacturing and testing costs and improving overall efficiency.

The Synopsys EDA Data Analytics solution includes three main packages: Synopsys Design.da, which provides actionable design insights to improve PPA; Synopsys Fab.da, which focuses on process control data to enhance operational efficiency; and Synopsys Silicon.da, which acts on silicon monitoring and diagnostic data to improve quality and yield. Together, these packages aim to streamline the IC design and manufacturing process.