What is a common outcome when inefficiencies are identified through process mining?

Identifying inefficiencies through process mining typically leads to the elimination of bottlenecks and the optimization of processes. Process mining allows organizations to visualize their actual processes based on real data, highlighting areas where performance may be lagging or where resources are not being utilized effectively. This insight enables organizations to make informed decisions to streamline their operations.

By addressing the inefficiencies, businesses can implement targeted actions such as redesigning workflows, reallocating resources, or automating certain tasks, which ultimately enhances overall efficiency and performance. The focus of process mining is on improving processes, so the identification of inefficiencies naturally aligns with efforts to eliminate obstacles and optimize how the work gets done.

Looking at the other potential outcomes, increased operational costs and increased complexity in business operations would suggest a mismanagement of identified issues, leading to wasted resources rather than improvement. Additionally, developing new processes that generate more paperwork contradicts the goal of enhancing efficiency, as it could introduce unnecessary steps and detract from streamlined operations.