Infrastructure Impacts Data Analytics

Semiconductor data analytics relies upon timely, error-free data from the manufacturing processes, but the IT infrastructure investment and engineering effort needed to deliver that data is, expensive, enormous, and still growing.

“Solutions all start with proper and efficient data organization,” said Onto’s McIntyre. “The recognition that data storage costs are minimal when compared to the costs of slower yield ramps, excursions, and redirection of human resources to problem solving, will go far in covering the capital investment needed for data retention. There also needs to be a recognition that data retention without understanding of its content and use is ineffective.”