Author(s)

Fengyi Zhao ¹

Affiliation(s)

¹ Business Operation, Intercontinental Exchange, Atlanta, Georgia, 30328, United States

Corresponding Author

Fengyi Zhao

ABSTRACT

This paper studies a set of competitive intelligence system based on business process, which aims to help enterprises obtain valuable strategic information in the fierce market environment through efficient data acquisition, processing and analysis. With the rapid development of the Internet, the amount of information faced by enterprises has increased sharply, and how to screen out the information with practical value has become a big problem. To this end, this paper deeply analyzes the specific needs of enterprises, and puts forward three modules of the system architecture: intelligence acquisition, intelligence processing and intelligence service. Information acquisition realizes preliminary information collection through keyword search and URL fetching, and combines text processing technology to clean and structure data to improve the accuracy of data. On this basis, this paper puts forward the information conversion standard, and adopts SVM classification algorithm and K-means clustering algorithm in machine learning to carry out fine classification and unsupervised clustering of text data, so as to optimize information management and distribution. The system can effectively improve the efficiency of information collection and utilization, and help managers to make more accurate decisions in complex market environment, which has important application value.

KEYWORDS

Competitive intelligence system, Data processing and analysis, Text preprocessing technology, Machine learning algorithm, Information conversion standard

CITE THIS PAPER

Fengyi Zhao, Design of Competitive Intelligence System Based on Business Process and Analysis of Information Transformation Standard. Information and Knowledge Management (2025) Vol. 6: 14-21. DOI: http://dx.doi.org/10.23977/infkm.2025.060103.

REFERENCES

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