Semiconductor manufacturing does not have a shortage of data. Every stage, from wafer fabrication and equipment monitoring to testing, packaging, and reliability, generates large amounts of information.

The challenge is turning that data into useful insights. This is where semiconductor data analysis tools become important. Different tools serve different purposes, including process monitoring, yield analysis, test data analytics, visualization, root cause analysis, traceability, and predictive analytics.