Real Time Business Intelligence for the Adaptive Enterprise
2006
In today's competitive environment, analysing data to predict market trends and to improve enterprise performance is an essential business activity. However, it is becoming clear that business success requires such data analysis to be carried out in real-time, and that actions in response to analysis results must also be performed in realtime in order to meet the rapid change in demand from customers and regulators alike. This paper discusses issues and problems of current business intelligence systems, and then outlines our vision of future real-time business intelligence. We present a list of emerging technologies that are being developed within the research program of British Telecommunications plc (BT), which could contribute to the realisation of real-time business intelligence, in addition to some examples of applying these technologies to improve BTs systems and services.
Keywords:
- Computer science
- Business transformation
- Artificial intelligence
- Business architecture
- Machine learning
- Process management
- Business analytics
- Business activity monitoring
- Artifact-centric business process model
- Data science
- Real-time business intelligence
- New business development
- Business rule
- Business process modeling
- Business analysis
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