Abstract
Process mining tools help analysts in conducting a data-driven analysis of business processes. However, identifying improvement opportunities is still a manual task that depends largely on analysts’ expertise and experience with process analysis and process mining tools. In this paper, we present a set of templates that aid analysts in systematically identifying improvement opportunities with process mining tools. Based on review studies, we identified 22 improvement opportunities that can be identified from process logs. Then, we conducted a content analysis of 129 business process intelligence challenge submissions to elicit how improvement opportunities can be identified. Based on this data, we developed 21 templates that guide process analysts in identifying improvement opportunities using Apromore as a process mining tool. We evaluated the templates by combining interviews with survey methodology. The survey evaluation indicates that the templates are useful (score 4.37/5) and easy to use (4.65/5) for identifying improvement opportunities with Apromore.
Recommended Citation
Lashkevich, Katsiaryna; Milani, Fredrik; and Danylyshyn, Nadiia, "Analysis templates for identifying improvement opportunities with process mining" (2023). ECIS 2023 Research Papers. 378.
https://aisel.aisnet.org/ecis2023_rp/378