摘要
近年来,数据治理得到各行各业的普遍重视,国家和行业都发布了相关的标准和政策,通过相关文件明确数据治理的概念和体系,促进数据治理行业的发展。对相关文件进行解读,总结其中的异同之处,帮助人们了解与数据治理相关的管理趋势和应用的重点,同时,提出数据管理能力成熟度评估模型在银行业落地实施的建议,帮助银行更好地满足相关监管要求,提升数据管理能力的成熟度等级。
Recently,data governance got widespread attention of many industries.Some standards and polices had been published from country and industries,these files defined data governance concept and framework and boost data governance industry development.These files were analysed and some differences between them were identified to help people understand the trends and focus of data governance industry.At same time,some suggestions about how to implement DCMM in the bank industry were provided to help banks to better meet regulatory requirement and improve the maturity level of data management ability.
作者
代红
张群
芦皓麟
宾军志
DAI Hong;ZHANG Qun;LU Haolin;BIN Junzhi(China Electronics Standardization Institute,Bejing 100007,China;School of Microelectronics,Tianjin University,Tianjin 300072,China;Big Data Standardization Working Group,China National Information Technology Standardization Technical Committee,Beijing 100007,China)
出处
《大数据》
2020年第5期118-128,共11页
Big Data Research
关键词
大数据
数据质量
数据治理
数据管理能力成熟度评估模型
数据文化
big data
data quality
data governance
data management capability maturity assessment model
data culture