Desktop Activity Mining - A new level of detail in mining business processes
Desktop Activity Mining - A new level of detail in mining business processes
复制标题
桌面活动挖掘 - 挖掘业务流程的细节达到新水平
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Dirk Werth
中科院分区：
文献类型：
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作者：
Christian Linn;Phileas Zimmermann;Dirk Werth
新的分析和自动化技术正在显着改变业务流程管理的执行方式。尤其是机器人流程自动化 (RPA) 作为一种自动化办公流程的方法正在迅速变得越来越重要。然而，办公流程的高效自动化需要有关与该流程相关的所有用户活动的详细信息。虽然流程挖掘技术原则上可以用于以数据驱动的方式发现流程，但现有方法无法收集自动化目的所需的详细信息。这就是为什么 RPA 系统的配置是一项劳动和知识密集型任务，需要人类专家对所有流程变化进行详细建模。在本文中，我们将桌面活动挖掘作为挖掘详细流程活动数据的新方法。其概念是记录执行办公流程的所有用户的详细桌面活动，并使用流程挖掘技术整合流程变化，以发现集成的流程模型。作为概念验证，我们实现了一个原型实现。我们的研究结果表明，桌面活动挖掘不仅具有优化流程自动化的潜力，而且还可以在挖掘和分析业务流程方面获得新的细节水平。
New analysis and automation technologies are signiĄcantly changing the way how business process management is performed. Especially Robotic Process Automation (RPA) is rapidly gaining importance as a method to automate office processes. An efficient automation of office processes however requires detailed information about all user activities related to the process. While process mining techniques can in principle be used to discover processes in a data-driven way, the existing approaches are not able to gather information in a level of detail required for automation purposes. That is why in particular the conĄguration of RPA systems is a labor and knowledge-intensive task that is based on a human expert, modeling all process variations in detail. In this paper, we present Desktop Activity Mining as a new approach to mine detailed process activity data. The concept is to record the detailed desktop activities of all users performing an office process and consolidate the process variations with process mining techniques to discover an integrated process model. As a proof of concept, we realized a prototypical implementation. Our Ąndings suggest that Desktop Activity Mining holds the potential to optimize not only process automation but also to derive a new level of detail in mining and analyzing business processes.