Comparative analysis between bank industry data governance guidelines and DCMM

Hong DAI; Qun ZHANG; Haolin LU; Junzhi BIN

doi:10.11959/j.issn.2096-0271.2020048

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Comparative analysis between bank industry data governance guidelines and DCMM

FORUM | 更新时间：2024-06-03

- Comparative analysis between bank industry data governance guidelines and DCMM
- Big Data Research Vol. 6, Issue 5, Pages: 2020048-1(2020)
- 作者机构：
  
  1. 中国电子技术标准化研究院，北京 100007
  2. 天津大学微电子学院，天津 300072
  3. 全国信息技术标准化技术委员会大数据标准工作组，北京 100007
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2020048
  CLC： TP30
- Online First：2020-09，
  
  Published：15 September 2020
- 稿件说明：
移动端阅览
Hong DAI, Qun ZHANG, Haolin LU, et al. Comparative analysis between bank industry data governance guidelines and DCMM[J]. Big Data Research, 2020, 6(5): 2020048-1.
DOI：

Hong DAI, Qun ZHANG, Haolin LU, et al. Comparative analysis between bank industry data governance guidelines and DCMM[J]. Big Data Research, 2020, 6(5): 2020048-1. DOI： 10.11959/j.issn.2096-0271.2020048.

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。

Abstract

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.

关键词

Keywords

references

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