Process diffusion data with Bayesian Data Processing (BDP) involves analyzing how information, substances, or innovations spread over time within a system. BDP enhances this analysis by incorporating prior knowledge and probabilistic modeling, improving accuracy in forecasting and decision-making. This method is widely used in engineering, finance, and social sciences for complex diffusion modeling.