A Method and Tool for Predictive Event-Driven Process Analytics
Matzner M, Schwegmann B, Janiesch C (2013)
Publication Language: English
Publication Type: Conference contribution, Original article
Publication year: 2013
Conference Proceedings Title: Proceedings of the 11th International Conference on Wirtschaftsinformatik (WI2013)
Event location: Leipzig
ISBN: 978-3-00-041360-5
URI: http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1045&context=wi2013
Open Access Link: http://aisel.aisnet.org/cgi/viewcontent.cgi?article=1045&context=wi2013
Abstract
Business value can be lost if a decision maker’s action distance to the observation of a business event is too high. So far, two classes of information systems, which promise to assist decision makers, have been discussed independently from each other only: business intelligence systems that query historicbusiness event data in order to prepare predictions of future process behavior and real-time monitoring systems. This paper suggests using real-time data for predictions following an event-driven approach. A predictive event-driven process analytics (edPA) method is presented which integrates aspects from business activity monitoring and process intelligence. Needs for procedure integration metric quality and the inclusion of actionable improvements are outlined.The method is implemented in the form of a software prototype and evaluated.
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Germany (DE)How to cite
APA:
Matzner, M., Schwegmann, B., & Janiesch, C. (2013). A Method and Tool for Predictive Event-Driven Process Analytics. In Alt Rainer, Franczyk Bogdan (Eds.), Proceedings of the 11th International Conference on Wirtschaftsinformatik (WI2013). Leipzig.
MLA:
Matzner, Martin, Bernd Schwegmann, and Christian Janiesch. "A Method and Tool for Predictive Event-Driven Process Analytics." Proceedings of the Internationale Konferenz Wirtschaftsinformatik, Leipzig Ed. Alt Rainer, Franczyk Bogdan, 2013.
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