Enterprise Performance Management following Big Data Analysis Technology under Multisource Information Fusion

Zhengna Qin,Lei Zhang,Haojie Liao,Ling Chen,Xingsi Xue

doi:10.1155/2021/7915670

Abstract

With the development of the Internet, big data collection, analysis, and processing are flourishing. The study aims to explore the performance management of power enterprises based on multisource information fusion and big data. First, the application of big data to enterprise management is analyzed. Second, the multisource information fusion method is introduced, and the multisource information fusion model is implemented. Finally, the fuzzy language algorithm is used to evaluate the performance management of power enterprises. The results show that the proposed multisource information fusion algorithm has high efficiency in evaluating enterprise performance management. The evaluation result is closer to the actual value than other algorithms, and the maximum acceleration ratio can reach 7, indicating that the algorithm is suitable for processing big data. The performance evaluation shows that enterprises pay most attention to the quality of their products; the weight reached 0.414; and the index weight difference is large. This study promotes the reform of the performance management mode and improves the management efficiency of enterprises through the proposed enterprise performance management strategy. It provides a great reference for the application of big data and information fusion technology.

Highlights

E ultimate goal of information fusion is to process the scattered information of multiple sensors in multiple levels and aspects and output useful information [4]
The experimental conclusion is drawn. e study aims to improve the efficiency of performance management of power enterprises through the multisource information fusion model. e main contribution of the research is that a management fusion model is implemented through the multisource information fusion method and big data
Information fusion and big data are widely used in industries, transportation, environmental monitoring, finance, meteorology, and other fields. e application of big data to enterprise management can assist the enterprise in decision-making, judging the developing trend, and increasing the scientificity of decision-making. erefore, the performance management of power enterprises based on big data technology is studied under multisource information fusion

Summary

Introduction

E ultimate goal of information fusion is to process the scattered information of multiple sensors in multiple levels and aspects and output useful information [4]. The performance management of power enterprises is studied based on big data and the multisource information fusion method. The management of power enterprises and the traditional method of the multisource information fusion method are introduced, and the multisource information fusion model is implemented. E study aims to improve the efficiency of performance management of power enterprises through the multisource information fusion model. E main contribution of the research is that a management fusion model is implemented through the multisource information fusion method and big data. In the management of power enterprises, the efficiency of enterprise management, information acquisition, communication, and efficient data analysis are very important [10], and this needs to fuse massive data. The methods of multisource information fusion mainly include unified identification, data comparison, heterogeneous weighting, and analysis modeling [11].

Methods

Results

Conclusion