What does “process redesign” involve in Process Mining?

Process redesign in the context of Process Mining is fundamentally about analyzing existing processes, identifying inefficiencies or bottlenecks, and then modifying those processes to enhance their efficiency and effectiveness. It goes beyond simply creating new processes; instead, it utilizes insights gained from data analyses to inform adjustments and improvements.

This choice emphasizes the iterative nature of process management, where existing workflows are scrutinized and optimized based on empirical data. The insights obtained through process mining reveal how processes behave in reality, highlighting areas where changes can lead to significant improvements. By reimagining and modifying processes, organizations can streamline operations, reduce waste, and adapt to evolving business needs.

The other options focus on different aspects of process management. Creating entirely new processes from scratch could be a part of a broader strategy, but it doesn't encapsulate the essence of redesign based on insights. Implementing standard operating procedures is a necessary part of operational consistency but does not inherently involve the analytical modifications encouraged by process mining. Establishing a governance framework for processes involves setting rules and structures but does not directly address the reimagining aspect that process redesign emphasizes. Therefore, the focus on modification and reimagining aligns precisely with what process redesign aims to achieve in the context of process mining.