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| Research on Intelligent Services for Industrial Competitive Intelligence Driven by Multi-Source Data |
| Zheng Rong1,2, Yang Jingxiong1, Zhang Wei1, Chang Zeyu1 |
1.School of Management, Jilin University, Changchun 130022
2.Information Resource Research Center, Jilin University, Changchun 130022 |
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Abstract The competitive intelligence service industry will evolve and become more intelligent with time. As the basis of competitive intelligence, the use of multi-source data significantly impacts the realization of intelligent services for industrial competitive intelligence. This paper explores this issue in order to provide additional references for research on industrial competitive intelligence services. First, this paper analyzes the connotations and demand of smart services for multi-source data-driven industry competitive intelligence. Second, it clarifies the realization path of multi-source data-driven smart services for industrial competitive intelligence. According to the implementation plan, after the establishment of a multi-source data fusion framework comprising bottom-level fusion and middle-level and high-level integration, this paper expounds the role of industrial competitive intelligence services in different dimensions, focusing on four service modes—intelligent retrieval, personalized recommendation, special customization, and intelligent prediction. Multi-source data and its fusion is an important driving force for the intelligent transformation of industrial competitive intelligence services. A multi-source data-driven intelligent service for industrial competitive intelligence should use the demand for industrial intelligence as a reference point, take the multi-source data and its integration as the breakthrough point, and promote the realization of a multi-dimensional intelligent service for industrial competitive intelligence.
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Received: 11 June 2020
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