企业数据应用影响力评估模型方法研究

doi:10.11896/jsjkx.200200062

计算机科学 ›› 2020, Vol. 47 ›› Issue (11A): 520-523.doi: 10.11896/jsjkx.200200062

企业数据应用影响力评估模型方法研究

乐雯娇^1,2, 李朋¹, 文俊浩², 邢镔^1,3

1 重庆工业大数据创新中心重庆 400000
2 重庆大学大数据与软件学院重庆 400000
3 工业大数据应用技术国家工程实验室北京 100000

出版日期:2020-11-15 发布日期:2020-11-17
通讯作者: 李朋(cheney535@163.com)
作者简介:wenjiao_yue@163.com
基金资助:
国家重点研发计划课题(2019YFB1706104)

Study on Impact Assessment Model of Enterprise Data Application

YUE Wen-jiao^1,2, LI Peng¹, WEN Jun-hao², XING Bin^1,3

1 Chongqing Industrial Big Data Innovation Center,Chongqing 400000,China
2 School of Big Data and Software,Chongqing University,Chongqing 400000,China
3 National Engineering Laboratory of Industrial Big Data Application Technology,Beijing 100000,China

Online:2020-11-15 Published:2020-11-17
About author:YUE Wen-jiao,born in 1995,postgra-duate.Her main research interests include data processing,and edge computing.
LI Peng,born in 1985,Ph.D,resear-cher,is a member of China Computer Federation.His main research interests include and data analysis.
Supported by:
This work was supported by the National Key Research and Development Project(2019YFB1706104).

摘要/Abstract

摘要： 针对企业数据利用率低、数据质量评估难等问题,考虑中国企业数据治理和应用需求,联合美国RMDS实验室从企业数据应用的角度,创造性地加入数据科学评估维度,提出了兼容现有主流评估模型且更满足中国企业需求的企业数据影响力评估模型(Data Impact Assessment Model,DIAM)框架。考虑到现有DIAM模型尚未提出具体可行的评估方式,在模型框架研究的基础上,对DIAM模型的评估方法和评级策略进行研究。首先采用改进的层次分析法对DIAM模型的4个层次,涵盖数据顶层设计、数据科学、数据管理三大维度的240个评估指标进行权重计算;然后在权重计算的基础上,研究自上而下的模型评估方法;进而提出五级的数据影响力评估等级,定义了评级结果的综合性评级调整策略。通过分析,改进的DIAM模型能够适用企业数据应用影响力评估,为企业进行数据治理和应用能力提供科学的评估依据。

关键词: DIAM模型, 层次分析法, 数据成熟度模型, 数据应用影响力, 数据治理

Abstract: Aiming at the problems of low data utilization rate and difficult data quality assessment,considering Chinese enterprise data governance and application requirements,in conjunction with the US RMDS laboratory,from the perspective of enterprise data application,the data science assessment dimension is creatively added,and compatible with existing mainstream assessments is proposed Enterprise data impact assessment model (DIAM) framework that is based on the model and better meets the needs of Chinese enterprises.Considering that the existing DIAM model has not yet proposed a specific and feasible evaluation method,based on the model framework research,this paper studies the evaluation method and rating strategy for the DIAM model.To carry out the research,first,this paper uses an improved analytic hierarchy process to calculate the weights of 240 evaluation indicators covering the four dimensions of the DIAM model,covering the three dimensions of data top-level design,data science,and data management.Then,based on the weight calculation,it researches Top-down model evaluation method.Further,it proposes a five-level data impact evaluation level,and defines a comprehensive rating adjustment strategy for the rating results.Through analysis,the improved DIAM model can be applied to enterprise data application impact evaluation for enterprises,and provides a scientific basis for enterprise data governance and application capability.

Key words: Analytic hierarchy process, Data application impact, Data governance, Data maturity model, DIAM model

中图分类号:

TP319

乐雯娇, 李朋, 文俊浩, 邢镔. 企业数据应用影响力评估模型方法研究[J]. 计算机科学, 2020, 47(11A): 520-523. https://doi.org/10.11896/jsjkx.200200062

YUE Wen-jiao, LI Peng, WEN Jun-hao, XING Bin. Study on Impact Assessment Model of Enterprise Data Application[J]. Computer Science, 2020, 47(11A): 520-523. https://doi.org/10.11896/jsjkx.200200062

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企业数据应用影响力评估模型方法研究

Study on Impact Assessment Model of Enterprise Data Application

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