NI recently announced the launch of DataStudio. This new design-to-test analytics software lays the groundwork for modern, secure, and scalable engineering data infrastructure and applications. This lets wireless, semiconductor, and electronics innovation move faster.
DataStudio software connects crucial data across the semiconductor design and test workflow, allowing for faster product development. Specification Compliance Manager (SCM) is the first tool in the DataStudio series. It handles device specifications, links to measurement data sources, and automatically creates compliance reports.
DataStudio SCM gives a full view of the device's conformity to target standards, allowing for better decision-making and reporting, as well as leveraging data that is frequently lost across design, validation, and production test silos. Engineers obtain clear and actionable insights to boost productivity and reduce the human effort necessary during chip development by setting the groundwork with a complete data infrastructure.
In addition, the DataStudio Bench Data Connector (BDC) validation bench test library is also available. The BDC library creates a standard way to store validation data that works automatically with the DataStudio SCM. This makes it easy to add bench measurement data to tools for reporting compliance.
“The last several decades have focused on design and test automation, which generates a large volume of data. Our customers want to leverage this data to enable better project visibility and decision-making. We’re at a tipping point. The volume of data and the pressure to use that data is immense, and our customers are looking for solutions to work across the whole flow now.”
Ritu Favre, vice president and general manager of the Semiconductor and Electronics Business Unit at NI
Engineers' needs are at the center of DataStudio's modern, software-connected approach to designing and testing data. This latest tool from NI will aid engineers who are swiftly producing what's next, from product definition to verification, validation, and production testing, by combining NI's deep software background with new cloud and machine learning capabilities.