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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(guó)資國(guó)企在線監(jiān)管平臺(tái)系統(tǒng)為例
網(wǎng)絡(luò)安全與數(shù)據(jù)治理
孔雁,,曹子傲
鄭州大學(xué)管理學(xué)院
摘要: 大數(shù)據(jù)時(shí)代,數(shù)據(jù)賦能和應(yīng)用給政府和國(guó)有企業(yè)的決策和監(jiān)管帶來(lái)了便利,,但決策監(jiān)管類系統(tǒng)面臨源數(shù)據(jù)獲取,、分析,、處理等過(guò)程導(dǎo)致的數(shù)據(jù)質(zhì)量不高問(wèn)題,,影響決策的精準(zhǔn)性和監(jiān)管的有效性。結(jié)合本人參與該平臺(tái)建設(shè)需求分析和數(shù)據(jù)獲取的實(shí)際工作過(guò)程,,針對(duì)國(guó)有資產(chǎn)和國(guó)有企業(yè)數(shù)據(jù)獲取到應(yīng)用過(guò)程中影響數(shù)據(jù)質(zhì)量的主要因素進(jìn)行分析,,構(gòu)建了數(shù)據(jù)質(zhì)量模型的因果關(guān)系圖和流圖,并通過(guò)Vensim PLE進(jìn)行仿真實(shí)驗(yàn),,識(shí)別到人才對(duì)數(shù)據(jù)質(zhì)量的重要性,。同時(shí),了解其中的學(xué)習(xí)培訓(xùn)時(shí)間,、需求變更和元數(shù)據(jù)因素對(duì)數(shù)據(jù)質(zhì)量的具體影響趨勢(shì),,并提出對(duì)應(yīng)改進(jìn)數(shù)據(jù)質(zhì)量的有效方法。
中圖分類號(hào):TP391.9;TP311.5文獻(xiàn)標(biāo)識(shí)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(guó)資國(guó)企在線監(jiān)管平臺(tái)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
Kong Yan,Cao Ziao
School of Management,,Zhengzhou University
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

引言

隨著信息技術(shù)的快速發(fā)展和大數(shù)據(jù)技術(shù)的廣泛應(yīng)用,,決策監(jiān)管類系統(tǒng)在政府、企業(yè)等領(lǐng)域得到廣泛應(yīng)用,。通過(guò)高水平的智能化監(jiān)管平臺(tái)建設(shè),,完善監(jiān)督管理體系、優(yōu)化監(jiān)督流程,、明確監(jiān)督內(nèi)容,、規(guī)范監(jiān)督程序,實(shí)現(xiàn)數(shù)據(jù)采集實(shí)時(shí)化、業(yè)務(wù)處理自動(dòng)化,、信息利用共享化,,全面提高監(jiān)督效率、質(zhì)量和水平,,增強(qiáng)快速反應(yīng)能力和應(yīng)急能力[1],。智能化國(guó)資國(guó)企監(jiān)管平臺(tái)建設(shè)在推動(dòng)國(guó)資國(guó)企改革發(fā)展、防止國(guó)有資產(chǎn)流失,、確保實(shí)現(xiàn)國(guó)有資產(chǎn)保值增值,、促進(jìn)國(guó)資監(jiān)管信息化和國(guó)資國(guó)企信息化協(xié)同提升、推動(dòng)“數(shù)字企業(yè)”建設(shè),、提升國(guó)資國(guó)企治理能力等方面具有重大意義,。然而現(xiàn)有決策監(jiān)管平臺(tái)中企業(yè)提供數(shù)據(jù)信息存在不一致、不準(zhǔn)確,、不及時(shí)等情況,,導(dǎo)致支撐決策監(jiān)管系統(tǒng)的整體數(shù)據(jù)質(zhì)量不高,影響整個(gè)決策分析系統(tǒng)進(jìn)行決策的準(zhǔn)確性和可靠性,。因此,,研究系統(tǒng)相關(guān)因素對(duì)數(shù)據(jù)質(zhì)量的影響程度和影響機(jī)制,對(duì)于提高決策監(jiān)管類系統(tǒng)的數(shù)據(jù)質(zhì)量和提升決策的準(zhǔn)確性與可靠性均具有重要意義,。


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作者信息:

孔雁,,曹子傲

(鄭州大學(xué)管理學(xué)院,河南鄭州450000)


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