Author(s)

Xiaran Zhan, Congxiao Wu, Lina Zhang and Shan Deng

Corresponding Author

Xiaran Zhan

Abstract

With the increasingly fierce competition, the engineering industry has entered the era of low profit. In order to save costs and improve the engineering technology content, it is in an advantageous position in the fierce market competition. It is necessary to break through the traditional thinking, carry out data integration and seek benefits from management. In this paper, 20 sets of complete project cost control process data in North China, South China, East China and central China (2017-2019) obtained by cost cloud are analyzed by t-test of correlation, single factor variance and paired samples, and the correlation and regularity between the data are found, and the general situation of project cost control in North China, South China, East China and central China is summarized. The results of empirical analysis show that: due to the difference of cost setting value of condition difference, the total cost in North China, South China, East China and central China tends to be average; the difference between target value and dynamic value is significant, and the dynamic control is weak, so the inherent cost control mode needs to be changed; the cost control mode in the engineering industry is significantly different, and there is no unified, coordinated and benchmarked standard control mode. Based on this, it will become a new measure of management and control to explore the deep adaptation mode of big data analysis and engineering cost management and control, establish standardized engineering cost management and control to solve the problems of disunity, incoordination and benchmarking, and optimize and improve the implementation path of cost saving.

Keywords

Big Data Analysis; Data Relevance; Data Regularity; Cost Control; Standard Control Mode