Abstract
With the improvement of the intelligence level of the power network and the gradual improvement of the information and communication of the power system, the application of power big data to the corporate credit market is not only an important supplement to the national social credit system but also an important strategic goal for the State Grid to expand profitability. This paper constructs a benefit evaluation model for power data credit investigation products based on the utility of the products that financial institutions experience when they purchase and use financial risk control products. Based on the theory of customer value, comprehensively considering the characteristics of power credit reporting products, and taking profit maximization as the corporate goal, the pricing of a single power credit reporting product is studied, and the method is verified using example products. This article gives the pricing strategy of power credit investigation, which can be used as a reference for enterprises to further develop market strategies.
Highlights
With the improvement of the intelligent level of the power network and the gradual improvement of the information communication of the power system, more power data can be obtained, including the basic information of users, the monitoring data of power line equipment, the information of power generation, transmission, distribution, and consumption in the process of production and marketing, as well as the voltage and current in the power network. ese data have the characteristics of high credibility, strong timeliness, good continuity, good integrity, and wide coverage
Product price is the basis of product sales. It is an important way for enterprises to make profits, and it is the embodiment of enterprise development strategy. erefore, a reasonable product pricing strategy will help enterprises to speed up market response, reduce repetitive work and resource consumption, improve the performance of power data credit products in the credit product market, and promote the smooth realization of the profit target of enterprises
E application of big data in the field of enterprise credit reporting has the characteristics of uncertainty, scarcity, and diversity, and the product pricing is vulnerable to the impact of data quality, data historical transaction price, and data utility. is paper discusses the pricing strategy of big data credit reporting products for electric power based on customer value
Summary
With the improvement of the intelligent level of the power network and the gradual improvement of the information communication of the power system, more power data can be obtained, including the basic information of users, the monitoring data of power line equipment, the information of power generation, transmission, distribution, and consumption in the process of production and marketing, as well as the voltage and current in the power network. ese data have the characteristics of high credibility, strong timeliness, good continuity, good integrity, and wide coverage. Because of the strong originality and nonrepetitive characteristics of power big data credit products and the short time of application in the field of enterprise credit, it is difficult to accurately evaluate the credibility and customer value of products, resulting in the lack of reasonable pricing strategies for products, which directly affects the market promotion of power big data credit products. E application of big data in the field of enterprise credit reporting has the characteristics of uncertainty, scarcity, and diversity, and the product pricing is vulnerable to the impact of data quality, data historical transaction price, and data utility. Is paper discusses the pricing strategy of big data credit reporting products for electric power based on customer value E application of big data in the field of enterprise credit reporting has the characteristics of uncertainty, scarcity, and diversity, and the product pricing is vulnerable to the impact of data quality, data historical transaction price, and data utility. is paper discusses the pricing strategy of big data credit reporting products for electric power based on customer value
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