Abstract
With the continuous increase of mass information in the process of enterprise operation, information redundancy interference poses a challenge to enterprise information decision-making. Therefore, this paper applies big data analysis technology to enterprise information intelligent decision-making, and builds an enterprise information intelligent decision-making model based on big data analysis. The key data of enterprise is mined by using the density weight Canopy to improve the K-Gmedoids algorithm. After sorting, filtering, and transforming, the big data model designed in this paper uses interactive genetic algorithms to obtain the optimal decision-making strategy of enterprise information through experimental tests, which has a significant impact on the decision-making management and the competitiveness of the enterprise. In the process of enterprise information collection and intelligent decision-making, the interactive genetic algorithm generates a 95% match between the optimal business operation plan and the problems that need to be solved in the actual operation of the enterprise, which can better improve the ability of the enterprise to deal with problems. The number of iterations of the optimal decision-making plan obtained by the company is only 6 times, which has a good use effect while improving work efficiency.
Highlights
W ITH the continuous development of cloud computing technology, the application of the Internet of things and mobile Internet has gradually increased, and the management work in various fields is inseparable from big data technology
THE NECESSITY OF BIG DATA APPLICATION IN ENTERPRISE INFORMATION INTELLIGENT DECISION-MAKING 1) Rational application of big data technology is one of the core conditions to enhance the competitiveness of enterprises In the big data environment, the enterprise needs to improve their own information intelligent decision-making capabilities
Taking a large enterprise as an example, SPSS20.0 software is used as a statistical processing tool, and the application value of big data technology in enterprise information intelligent decision-making is judged by t test and X2 test
Summary
W ITH the continuous development of cloud computing technology, the application of the Internet of things and mobile Internet has gradually increased, and the management work in various fields is inseparable from big data technology. Mining the characteristics of enterprise big data, exploring its application value and making information intelligent decision are the core basis for enterprise in various fields to implement intelligent decision-making in big data environment. The United Nations focuses on how developing countries deal with the challenges of big data and recommends the use of big data technology to promote the development of the global economy progress [3]. The application of big data technology includes various issues such as customer relationship management, market management and fault diagnosis [4], and has a significant use value for the development of country, society and enterprises. The enterprises need to use big data technology to retrieve, query, pre-process, filter and other operation modes of complex enterprise big data to promote the development progress of enterprise [7]
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