A common challenge for improving business processes in large organizations is that business people in charge of the operations are lacking a fact-based understanding of the execution details, process variants, and exceptions taking place in business operations. While existing process mining methodologies can discover these details based on event logs, it is challenging to communicate the process mining findings to business people. In this paper, we present a novel methodology for discovering business areas that have a significant effect on the process execution details. Our method uses clustering to group similar cases based on process flow characteristics and then influence analysis for detecting those business areas that correlate most with the discovered clusters. Our analysis serves as a bridge between BPM people and business, people facilitating the knowledge sharing between these groups. We also present an example analysis based on publicly available real-life purchase order process data.

中文翻译：

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使用聚类和影响分析发现业务领域对流程挖掘分析的影响

在大型组织中改进业务流程的一个常见挑战是，负责运营的业务人员缺乏对业务运营中发生的执行细节、流程变体和异常的基于事实的理解。虽然现有的流程挖掘方法可以根据事件日志发现这些详细信息，但将流程挖掘结果传达给业务人员是具有挑战性的。在本文中，我们提出了一种新的方法来发现对流程执行细节有重大影响的业务领域。我们的方法使用聚类根据流程流特征对相似案例进行分组，然后影响分析以检测与发现的聚类最相关的业务领域。我们的分析是 BPM 人员和业务之间的桥梁，人们促进这些群体之间的知识共享。我们还提供了一个基于公开可用的现实采购订单流程数据的示例分析。