Process Analytics

Business Process Management Systems are a rich source of events that document the execution of processes and activities within these systems. Business Process Analytics is the family of methods and tools that can be applied to these event streams in order to support decision-making in organizations. The analysis of process events can focus on the behavior of completed processes, evaluate currently running process instances, or focus on predicting the behavior of process instances in the future.

Related Publications

  • Michael zur Muehlen, Robert Shapiro: “Business Process Analytics”, in: Jan vom Brocke, Michael Rosemann (eds.), Handbook on Business Process Management 2: Strategic Alignment, Governance, People and Culture (International Handbooks on Information Systems), Springer Verlag, 2010.
  • zur Muehlen, Michael; Swenson, Keith D.: “BPAF: A Standard for the Interchange of Process Analytics Data”, 6th International Workshop on Business Process Intelligence (BPI 2010), Hoboken, NJ, 2010.
  • Michael Genrich, Alex Kokkonen, Jürgen Moormann, Michael zur Muehlen, Roger Tregear, Jan Mendling and Barbara Weber: “Challenges for Business Process Intelligence: Discussions at the BPI Workshop 2007”, in: Arthur ter Hofstede, Boualem Benatallah, Hye-Young Paik, Business Process Management Workshops, Lecture Notes in Computer Science, Springer LNCS. 4928, 2008.
  • Michael zur Muehlen: Workflow-based Process Controlling. Foundation, Design, and Application of workflow-driven Process Information Systems, Logos, Berlin 2004.

Related Projects

AMoCoS – Advanced Monitoring and Controlling of Business Processes

The management of process-oriented organizations requires appropriate measurements in order to verify and ensure the effectiveness of the organizational processes. Process controlling has the goal of ensuring the rationality of the decision making process through the supply of relevant information about the process execution. Workflow management systems record events occurring during the execution of process instances and are thus capable of providing detailed information about the performance of operative processes. While some research has been conducted on the analysis of stand-alone workflow applications, the monitoring of distributed processes, especially in cross organizational workflows using web services, such as supply chain scenarios, has received significantly less attention. The AMoCoS project aims at the analysis of this type of application.

For this purpose we design and develop the prototype of a monitoring and controlling agent that is capable of registering itself to an internal or cross-organizational workflow, record the events that occur during the enactment of workflow instances and report back to the user with information that matches the user’s information requirements profile.

Investigators

Michael zur Muehlen (Stevens Institute of Technology)
Xiangyu Lai (Stevens Institute of Technology)
Wasim Sadiq (SAP Research)
Karsten Schulz (SAP Research)

Funding Agency

SAP Research

Budget

$ 157,000 over 18 Months

Duration

2004-2006