Principal Component Analysis is a technique that simplifies process monitoring by reducing the dimensions of data while keeping important information. It helps create a more manageable representation of the process variables while maintaining their relationships. This method is effective in capturing the variability present in the data, making it easier to understand and analyze complex processes.