Under the background of current continuous changing market economy and rapid development of information, enterprise will increase the demand of information or data, and correspondingly put forward higher requirements for its quality. For the purpose of better usage and information data control, enterprises put forward pioneering construct competitive intelligence system. Competitive intelligence system can provide accurate, effective and high value, timeliness strong intelligence data to enterprises and the enterprises may adjust their competitive strategy, and effectively enhance their own competitive advantages. The application of data mining technology in enterprise competitive intelligence system can upgrade information reserve capacity and optimize information channels to improve system efficiency effectively. In the process of enterprises development, the establishment of competitive intelligence system based on data mining technology has particularly important practical significance, so we should put more effort into establishing and running the intelligence system.
This paper introduces data mining technology in enterprise competitive intelligence system; and then introduced theoretical foundation and main clustering method of cluster analysis. The article emphasis on the FCM algorithm and principle and described implementation steps, and proposed the improvement FCM algorithm based on K mean particle size; finally, realize the design and implementation of enterprise competitive intelligence analysis and mining service system, and the improved FCM algorithm is applied in the system.
This study shows how a business can identify the networks allowing to form coalitions to obtain French procurement contracts. To this end, we have represented, by a graph, the 2008 co-branding system. We have detected, in this graph, 1360 strategic networks of which the organization reveals, on the one hand, identical characteristics within business networks, and on the other hand, the role of the dominant parties as to access to industrial labor. From these results, we propose a network cartography allowing us to consider new applications for competitive intelligence.
Foundations of Competitive Intelligence System to form Business Coalitions