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Applying Data Mining Techniques to Discover KPIs Relationships in Business Process Context

机译:应用数据挖掘技术发现业务流程上下文中的KPI关系

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Organizations need to continually improve and review their critical business processes. In addition, it is crucial not only to track the business process (BP) behavior and to derive key performance indicators (KPIs) but also to understand all necessary concepts and incorporate domain knowledge of the field. The purpose of this paper is to gain a deeper understanding of the interrelationships between all concepts and performance measurement raw data to extract their real meaning. In order to meet these challenges, first, we explore several qualitative and quantitative indicators for measuring the performance of BPs. Second, we develop a new ontology for the representation of these performance indicators. Then, we are based on data mining techniques to extract the most important information from data measurement and to discover all necessary relationships between indicators.
机译:组织需要不断改进和审查其关键业务流程。此外,至关重要的是不仅要跟踪业务流程(BP)行为并得出关键绩效指标(KPI),而且还必须了解所有必要的概念并吸收该领域的知识。本文的目的是加深对所有概念与性能度量原始数据之间的相互关系的了解,以提取其真实含义。为了应对这些挑战,首先,我们探索几种用于衡量BP绩效的定性和定量指标。其次,我们为这些绩效指标的表示开发了一种新的本体。然后,我们基于数据挖掘技术从数据测量中提取最重要的信息,并发现指标之间的所有必要关系。

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