- Title
- Integrating Real-Time Analytics and Situational Awareness into Business Process Management
- Creator
- Zhao, Xiaohui
- Date
- 2021
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/188526
- Identifier
- vital:17288
- Identifier
-
https://doi.org/10.1109/ICEBE52470.2021.00026
- Identifier
- ISBN:9781665444187 (ISBN)
- Abstract
- The integration of real-Time business intelligence into business process navigation is expected to boost business process management to a highly intelligent and flexible level. This advance comes with many appealing features, such as operational business intelligence, adaptive process evolution, situational awareness, etc. With such capabilities, businesses can effectively improve their customer relationships, increase revenue and maximise operational efficiency. Despite the strong demand from industry, little work has been done in attempting this integration. With the aim of filling this gap, this paper discusses the requirements for realising data-driven, context-Aware business process management with real-Time intelligence. A system architecture is proposed to illustrate this integration, and a real-Time recommendation approach is also introduced to best adapt a business process to perceived changes. © 2021 IEEE.
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- 17th IEEE International Conference on e-Business Engineering, ICEBE 2021, Guangzhou, China, 12-14 November 2021, Proceedings - 2021 IEEE International Conference on e-Business Engineering, ICEBE 2021 p. 21-26
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright @ 2021 IEEE
- Rights
- Open Access
- Subject
- Business process management; Contextual awareness; Real-Time analytics
- Full Text
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