"A computational framework for Data-Driven Decision Support and Knowled" by Asjad Khan
Process Mining techniques have traditionally focused on post-mortem analysis to optimize business processes, leveraging event logs to identify bottlenecks and inefficiencies. These methods aim to optimize process performance by mining process behavior, identifying bottlenecks, and pinpointing other sources of inefficiencies and defects. Complementing this, Process Analytics extends the analytical framework to support the practice of Business Process Management (BPM). This is achieved by leveraging process-related data to extract knowledge, enhance process performance, and facilitate managerial...
Source: uow.edu.au
