Systematic engineering in designing architecture of telecommunications business intelligence system

  • Authors:

  • Longbing Cao;Dan Luo;Chao Luo;Chengqi Zhang

  • Affiliations:

  • Faculty of Information Technology, University of Technology, Sydney, Australia and Beijing Guoxin Intelligent System Technology, Beijing, China;Science and Technology Exchange Center, Ministry of Science and Technology, China;Department of Electronics and Information, Liaoning Technical University;Faculty of Information Technology, University of Technology, Sydney, Australia

  • Venue:
  • Design and application of hybrid intelligent systems
  • Year:
  • 2003

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Abstract

Nowadays, several solutions can be obtained from business intelligence product vendors for building business intelligence system. However, based on our experience in implementing business intelligence system in telecommunications, many practical challenges and problems are emerging continuously when we use the above products to integrate and mine business intelligence from operational systems and work flows. As a result of survey, 85% of data warehouse projects failed to meet their intended objectives. One of the key reasons, we believe, is located at the design strategy of system architecture whether it is from systematical viewpoint or not. In this paper, based on our work experience in theory and application, we take the process of constructing a business intelligence system as a systematic engineering, and abstracted and advanced a hybrid strategies for constructing software architecture of telecommunications business intelligence system, which implements the BI system based on the four types of models step by step, supports system analysis and design from four levels of analyses, a suite of functionalities and components for decision support, and a knowledge portal for integration and presentation of all analysis and design. As an experimental assessment of the above proposed approach for building hybrid intelligent architecture of BI system, we further presented a prototype of the intelligent operational analysis system (IOAS) for telecommunications operators, which is built on the top of historical heterogeneous data and real telecommunications environment, and has been shown to work online user-friendly and flexibly, support decision making systematically.