RCA and TEA are processes used to analyze defects and improve quality. RCA seeks to determine the root cause of defects to prevent future occurrences, while TEA aims to help testing teams detect defects earlier. Both utilize defect data, with some common fields like reason introduced and development phase. RCA data is collected for all defects to drive process improvements, while TEA examines samples to spot trends and focus test improvements. Collecting and analyzing this data can help reduce costs by finding and fixing defects earlier.