Real Time Business Performance Monitoring and Analysis Using Metric Network

  • Authors:
  • Pu Huang;Hui Lei;Lipyeow Lim

  • Affiliations:
  • IBM T. J. Watson Research Center;IBM T. J. Watson Research Center;IBM T. J. Watson Research Center

  • Venue:
  • ICEBE '06 Proceedings of the IEEE International Conference on e-Business Engineering
  • Year:
  • 2006

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Abstract

Monitoring and analyzing business performance in a continuous manner nowadays is crucial for enterprises to achieve operational excellence, and to better align daily operations with long-term business strategies. To do so, performance measures need to be collected from daily operations and aggregated to construct higher-level Key Performance Indicators (KPIs) in nearly real time. We propose a system called metric network for enterprise-wide business performance monitoring and analysis. A metric network consists of metrics, metric repositories, aggregation agents, and knowledge agents. We describe in details the generic procedure patterns of these metric network entities and their communication pattern. Our loosely coupled design makes it easy to enhance features by adding more metrics and agents. The proposed approach is examined using real metrics on a fictitious scenario.