中圖分類號：TP391.9;TP311.5文獻標(biāo)識碼：ADOI:10.19358/j.issn.2097-1788.2024.11.011引用格式：孔雁，曹子傲.基于Vensim PLE的決策監(jiān)管類系統(tǒng)的數(shù)據(jù)質(zhì)量影響因素分析——以智能化國資國企在線監(jiān)管平臺系統(tǒng)為例［J］.網(wǎng)絡(luò)安全與數(shù)據(jù)治理，2024，43（11）：64-69.

Analysis of data quality influencing factors of decision-making and supervision system based on Vensim PLE——Take the online supervision platform system of state-owned assets and enterprises as an example

Abstract： In the era of big data, data empowerment and application have brought convenience to the decision-making and supervision of governments and state-owned enterprises. However, the decision-making and supervision system faces the problem of low data quality caused by the process of source data acquisition, analysis and processing, which affects the accuracy of decision-making and the effectiveness of supervision. This paper mainly combines the specific practice of demand analysis and data acquisition in the construction process of intelligent state-owned enterprises online supervision platform, analyzes the main factors affecting data quality in the process of supervisory platform from data acquisition to application, and constructs the causality diagram and flow diagram of data quality model. Simulation experiments are conducted through Vensim PLE to identify the importance of talent and leadership participation in platform system construction on data quality, understand the specific influence trends of learning and training time, demand changes and source data factors, and put forward effective methods to improve data quality.

Key words : data quality; decision-making and supervision system; system dynamics; Vensim PLE