Recent Advances in Data-Driven Business Process Management
Lars Ackermann, Martin K\"appel, Laura Marcus, Linda Moder, Sebastian, Dunzer, Markus Hornsteiner, Annina Liessmann, Yorck Zisgen, Philip Empl,, Lukas-Valentin Herm, Nicolas Neis, Julian Neuberger, Leo Poss, Myriam, Schaschek, Sven Weinzierl, Niklas W\"ordehoff, Stefan Jablonski

TL;DR
This paper reviews recent technological advances and data sources that are transforming business process management into a data-driven paradigm, emphasizing its importance for organizational success.
Contribution
It provides research insights into the emerging field of data-driven BPM, highlighting recent developments and interdisciplinary challenges.
Findings
Data sources and technologies are enabling new BPM approaches
Data-driven BPM is a rapidly growing research area
Interdisciplinary challenges are prominent in this field
Abstract
The rapid development of cutting-edge technologies, the increasing volume of data and also the availability and processability of new types of data sources has led to a paradigm shift in data-based management and decision-making. Since business processes are at the core of organizational work, these developments heavily impact BPM as a crucial success factor for organizations. In view of this emerging potential, data-driven business process management has become a relevant and vibrant research area. Given the complexity and interdisciplinarity of the research field, this position paper therefore presents research insights regarding data-driven BPM.
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Taxonomy
TopicsBusiness Process Modeling and Analysis · Big Data and Business Intelligence · Data Quality and Management
