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Version vom 5. April 2013, 14:11 Uhr
preCEP: Facilitating Predictive Event-driven Process Analytics
preCEP: Facilitating Predictive Event-driven Process Analytics
Published: 2013
Juni
Buchtitel: Proceedings of the 8th Design Science Research in Information Systems and Technologies (DESRIST) Products and Prototypes Track
Reihe: Lecture Notes in Computer Science
Verlag: Springer
Erscheinungsort: Helsinki
Referierte Veröffentlichung
BibTeX
Kurzfassung
The earlier critical decision can be made, the more business value can be retained or even earned. The goal of this research is to reduce a decision maker’s action distance to the observation of critical events. We report on the development of the software tool preCEP that facilitates predictive event-driven process analytics (edPA). The tool enriches business activity monitoring with prediction capabilities. It is implemented by using complex event processing technology (CEP). The prediction component is trained with event log data of completed process instances. The knowledge obtained from this training, combined with event data of running process instances, allows for making predictions at intermediate execution stages on a currently running process instance’s future behavior and on process metrics. preCEP comprises a learning component, a run-time environment as well as a modeling environment, and a visualization component of the predictions.
Ökonomie und Technologie der eOrganisation
Business Intelligence, Geschäftsprozessanalyse, Complex Event Processing, Business Activity Management, Geschäftsprozessmanagement