面向大型能源企业的数据管理评价模型  

作　　者：于瑞雪 苏祖璇 王宇静 谢坤 赵雯钰 

机构地区：[1]中国神华能源股份有限公司,北京100011 [2]国能信息技术有限公司,北京100011

出　　处：《科技创新与应用》2025年第8期48-51,共4页Technology Innovation and Application

摘　　要：为推进大型能源企业数据管理能力建设,健全数据管理体系,夯实数据管理基础,开展数据管理能力评估,切实找出公司数据管理薄弱环节,规范数据管理与使用行为,持续提升数据管理能力,加快推动公司数字化转型发展。通过对大型能源企业数据管理现状和特性进行充分调研,借鉴DCMM、DAMA等国内外数据管理评估模型,创新性地构建一套数据管理评价模型,该模型包含8个能力域、29个能力项、96个管理要素和209项要素解析。采用加权平均的方法计算对成熟度等级进行判断。与目前业内通用数据管理能力评价模型相比,该模型明确数据管理重点范围、更加符合能源生产类企业业务特色。通过实证分析,结果表明该评价模型具有评价可操作性和评分有效性,能够为大型能源企业数据管理能力的提升提供指导。In order to promote the construction of data management capabilities of large energy enterprises,improve the data management system,consolidate the foundation of data management,carry out data management capabilities assessment,effectively identify weak links in the company's data management,standardize data management and use behaviors,continue to improve data management capabilities,and accelerate the promotion of the company's digital transformation and development.By fully investigating the current status and characteristics of data management in large energy enterprises,and drawing on domestic and foreign data management evaluation models such as DCMM and DAMA,a set of data management evaluation models has been innovatively constructed.The model includes the analysis of 8 capability domains and 29 capabilities,96 management elements and 209 elements.A weighted average method is used to calculate and judge the maturity level.Compared with the current general data management capability evaluation model in the industry,this model clarifies the key scope of data management and is more in line with the business characteristics of energy production enterprises.Through empirical analysis,the results show that the evaluation model has evaluation operability and scoring effectiveness,and can provide guidance for improving the data management capabilities of large energy companies.

关 键 词：大型能源企业 数字化转型 数据管理 评价模型 创新点 

分 类 号：G203[文化科学—传播学]