Visualizing Business Process Improvements

Abstract

Organizations have sets of business processes through which they produce value. To maintain high efficiency and better quality of services provided to their customers, organizations must constantly seek to improve their processes. While datadriven methods, such as process mining, can be used to analyze business processes and to identify improvement opportunities, process analysts take the specific decisions as to which changes to implement. To select which process changes to implement, the analysts need to understand the impact these changes would have on the process performance. Analysts often use process visualizations as part of their decision process to assess and determine which changes to pursue. Therefore, this thesis addresses the research question of how process improvement opportunities identified from event logs can be visualized to support the decision-making process of analysts. Thus, the contribution of this thesis is a set of guidelines to visualize process mining outputs for identifying improvement opportunities. This contribution is useful to those involved in the improvement of business processes. They benefit from this contribution as such visualizations of process changes support their decision-making and their communication with stakeholders.