期刊文献+

银行业金融机构数据治理指引和DCMM的对比分析 被引量:2

Comparative analysis between bank industry data governance guidelines and DCMM
下载PDF
导出
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
  • 相关文献

参考文献2

二级参考文献2

共引文献45

同被引文献16

引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部