This chapter revisits a general framework for correlating, predicting, and clustering process behavior based on event logs, which Wil van der Aalst and I designed more than one decade ago. After a brief summary of the framework and showcasing its application, the revisiting focuses on the historical and personal context in which it was designed and reflects on its legacy in current and future research in the BPM field. The framework’s structured approach anticipated later developments in predictive and prescriptive process monitoring, causal and stochastic process mining, and business process simulation. The rise of object-centric process paradigm introduces new challenges, as processes are increasingly modeled as interacting networks of objects rather than single case flows. The chapter also discusses the promising future work to adjust the framework according to this new paradigm, where tabular data are conceptually replaced by graph-shaped data structures, thereby moving toward graph-based learning models.