Process innovation: reengineering work through information technology
Process innovation: reengineering work through information technology
The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems
The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems
Process Management
Computers in Industry - Special issue: Process/workflow mining
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Business process mining: An industrial application
Information Systems
Information Systems Frontiers
Business Network Transformation: Strategies to Reconfigure Your Business Relationships for Competitive Advantage
A core ontology for business process analysis
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Using Complex Event Processing for Dynamic Business Process Adaptation
SCC '10 Proceedings of the 2010 IEEE International Conference on Services Computing
Event Processing in Action
Integrating complex events for collaborating and dynamically changing business processes
ICSOC/ServiceWave'09 Proceedings of the 2009 international conference on Service-oriented computing
Event-Driven manufacturing process management approach
BPM'12 Proceedings of the 10th international conference on Business Process Management
Hi-index | 0.00 |
Timely insight into a company's business processes is of great importance for operational efficiency. However, still today companies struggle with the inflexibility of monitoring solutions and reacting to process information on time. We review the current state of the art of business process management and analytics and put it in relation to complex event processing to explore process data. Following the tri-partition in complex event processing of event producer, processor, and consumer, we develop an architecture for event-driven business activity management which is capable of delivering blueprints for flexible business activity monitoring as well as closed loop action to manage the full circle of automated insight to action. We close with a discussion of future research directions.