predictive data analysis

The 10 Biggest Data Challenges of the Semiconductor Industry

Semiconductor manufacturing generates enormous volumes of data. A Yield Management Solution quickly loads the data and transforms it into useful, actionable information. … Read More

Why should test and yield engineers use a yield analysis software for yield diagnostics?

In order to analyze the vast amounts of data coming from the test equipment of semiconductor manufacturers, a premium, powerful software solution is required. High-performing software is a must as it enables fast and efficient processing of massive amounts of data. … Read More

Smart Manufacturing in the Semiconductor Industry

Big data analytics are used in smart manufacturing to streamline the manufacturing processes, optimize the supply chain, analyze tools and eliminate workplace inefficiencies. … Read More

Requirements, or “Where is the pie [chart]?”

Requirements engineering is defining, analyzing and managing customers’ software requirements, resulting in software working successfully for years to come. In the semiconductor industry, the customers’ needs vary greatly, so configuring their solution is always part of the process. … Read More

Semiconductor Data Monitoring

Data monitoring in the semiconductor industry is the collection and analysis of all chip manufacturing data, including test data, wafer defect inspection data, probe tests, WAT, final inspection tests and manufacturing data from the hundreds of processes that each chip undergoes. … Read More

YMS and Customer Support

For DR YIELD, customer support, the technical assistance customers receive after buying our yield management software is one of the most fundamental elements of what we do. … Read More

Using Predictive Data Analytics in Manufacturing

Predictive analysis capabilities provide deep insights for production optimization and can predict failures based on anomalies in the data. … Read More