Driven by technological progress, business analytics is gaining momentum while paving the path for next-generation business process management. Especially, embedded real-time analytics offers new opportunities for business process intelligence and value creation. However, there are several obstacles that organizations face in their adoption process. A key challenge is to identify business processes that are suitable for embedded analytics and hold relevant value potential. Our research addresses this need by introducing an exploratory BPM method, namely a process selection method. Applying action design research and situational method engineering, we iteratively built, used, evaluated, and refined the theory-ingrained method artifact. The method provides organizations with guidance in selecting operational business processes, for which a reengineering project should be initiated.

在技​​术进步的推动下，业务分析正在蓬勃发展，同时为下一代业务流程管理铺平道路。特别是，嵌入式实时分析为业务流程智能和价值创造提供了新的机会。然而，组织在采用过程中面临一些障碍。一个关键的挑战是确定适合嵌入式分析并具有相关价值潜力的业务流程。我们的研究通过引入探索性 BPM 方法（即流程选择方法）来满足这一需求。应用行动设计研究和情境方法工程，我们迭代地构建、使用、评估和完善了根深蒂固的理论方法工件。该方法为组织提供了选择运营业务流程的指导，并应为此启动重新设计项目。