Once collected, individual results undergo rigorous analysis using statistical techniques. Analysts look for patterns, correlations, and causal relationships. Advanced methods such as machine learning and data mining are increasingly being used to uncover hidden insights from individual-level data. The results are then interpreted in the context of existing knowledge to draw meaningful conclusions.
