The FLAC Method: Data-Facilitated Discovery of Business Process Improvement Options


Business process improvement (BPI) is crucial to every business, as inefficiencies jeopardise an organisation’s success. Predominant methods for BPI build on static process models, which are often incomplete, outdated, and lack execution-related insights. Process mining bears the potential to add execution-related insights into the process. However, organisations often lack the methodological expertise to apply process mining systematically to find process improvement options. Automating parts of BPI thus holds the potential to assist users without BPI expertise and enables data-driven BPI at scale. We introduce the FLAC method, which guides users in transforming conceptual BPI patterns into specific rulesets. Once transformed, they can be repeatedly applied to event logs to generate options for process improvement. An instantiation of the FLAC method on several BPI patterns and evaluation of its subsequent application to an event log confirmed its applicability and high relevance to practice by significantly reducing the time-to-insight.

In 32th European Conference on Information Systems, 13.-19. Juni 2024, Paphos, Cyprus.
Tobias Fehrer
Tobias Fehrer
Doctoral Candidate in IS

Within my research, I focus on topics in data-driven business process management in general and on process mining in particular.