Which of the following describes an outcome of successful process mining?

Successful process mining primarily focuses on analyzing and visualizing business processes to uncover insights that are not immediately apparent. One of the most significant outcomes of this practice is the identification of automation opportunities. By examining data from existing processes, businesses can pinpoint tasks that are repetitive, time-consuming, or prone to errors—indicating where automation could provide the most value. This insight allows organizations to prioritize areas that will result in enhanced efficiency, reduced operational costs, and better resource allocation.

In contrast, while improvements of manual processes can certainly be a goal, they do not specifically capture the essence of what process mining aims to achieve. Additionally, while reduced software costs and discussions surrounding the elimination of all human error might be beneficial outcomes, they are not the primary focus of process mining and may not be guaranteed as a result of its implementation. The core strength of process mining lies in revealing opportunities for automation, making option B the most accurate reflection of a successful outcome.