Data-driven analysis of business processes has a long tradition in research. However, recently the term of process mining is mostly used when referring to data-driven process analysis. As a consequence, awareness for the many facets of process analysis is decreasing. In particular, while an increasing focus is put onto technical aspects of the analysis, human and organisational concerns remain under the radar. Following the socio-technical perspective of information systems research, we propose a new perspective onto data-driven process analysis that combines the process of analysis with the organisation and its stakeholders. This paper conceptualises the term process analytics and its various dimensions by following both an inductive and deductive approach. The results are discussed by contrasting them to a real-life case study from a large company implementing data-driven process analysis and automation.

翻译：数据驱动的业务流程分析在研究中具有悠久传统。然而，近期"流程挖掘"这一术语在指代数据驱动流程分析时被广泛使用。这导致人们对流程分析多重维度的认知逐渐减弱。特别是，尽管分析的技术层面日益受到关注，但人文与组织层面的考量仍未得到充分重视。遵循信息系统研究的社会技术视角，本文提出一种融合分析过程与组织及其利益相关者的数据驱动流程分析新视角。通过采用归纳与演绎相结合的研究方法，本文对"流程分析"这一术语及其多维度内涵进行了概念化界定。研究结果通过对比一家大型企业实施数据驱动流程分析与自动化的实际案例进行了深入讨论。