Manufacturing

In semiconductor manufacturing, even a fraction of a percent increase in yield can translate into millions of dollars in savings. With the complexity of wafer fabrication, photolithography, etching, and testing—manufacturers must navigate vast data landscapes to identify process inefficiencies, detect defects early, and optimize performance. Traditional tools often fall short, … [Read more...] about Visual data science in action: Driving yield optimization with Spotfire

What if semiconductor process engineers, quality managers, and even R&D teams could unlock the same insights as data scientists—without writing a single line of code? In many semiconductor companies, advanced analytics are often confined to small data science teams, creating bottlenecks that slow decision-making and limit innovation. Innovation is no longer about individual … [Read more...] about Beyond the dashboard: How Spotfire democratizes data science for semiconductor teams

In semiconductor manufacturing, data is everywhere—but insights often feel out of reach. Every step of semiconductor production generates massive amounts of data: device metrology, equipment events, process trace data, defect reports, and more. The challenge? These datasets exist in different formats across disconnected systems, leading to data silos, slow analysis, and … [Read more...] about From data chaos to clarity: How Spotfire harmonizes semiconductor data for actionable insights

The semiconductor industry is the backbone of modern technology, powering everything from smartphones to electric vehicles. Yet, as devices become more sophisticated, the complexity of semiconductor manufacturing grows exponentially. Managing this intricacy requires more than traditional analytics; it demands advanced, data-driven insights to stay competitive. The complexity … [Read more...] about The semiconductor challenge: Navigating complexity with data-driven insights