Research on supervising big data governance method for securities and futures industry

Dongxing JIANG; Ruonan GAO; Haoyu WANG

doi:10.11959/j.issn.2096-0271.2019021

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Research on supervising big data governance method for securities and futures industry

TOPIC：BIG DATA GOVERNANCE | 更新时间：2024-06-03

- Research on supervising big data governance method for securities and futures industry
- Big Data Research Vol. 5, Issue 3, Pages: 2019021-1(2019)
- 作者机构：
  
  1. 中国证券监督管理委员会信息中心，北京 100033
  2. 中证信息技术服务有限责任公司，北京 100033
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2019021
  CLC： TP392
- Online First：2019-05，
  
  Published：15 May 2019
- 稿件说明：
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Dongxing JIANG, Ruonan GAO, Haoyu WANG. Research on supervising big data governance method for securities and futures industry[J]. Big Data Research, 2019, 5(3): 2019021-1.
DOI：

Dongxing JIANG, Ruonan GAO, Haoyu WANG. Research on supervising big data governance method for securities and futures industry[J]. Big Data Research, 2019, 5(3): 2019021-1. DOI： 10.11959/j.issn.2096-0271.2019021.

摘要

为充分发挥数据的资产价值，监管部门高度重视大数据治理工作。通过梳理证券期货行业监管大数据治理的需求与特殊性，对证券期货行业的大数据治理体系进行了深入研究，包括构建证券期货行业数据模型、搭建公共数据平台、建设数据服务体系以及构建组织保障体系4个方面。通过大数据工程建设的实施，进一步发现了证券期货行业大数据治理在工程共建共享、数据多源校核方面存在的深层次技术问题，提出了建设超级大数据管理平台、全面保障大数据工程效果的研究思路，为监管决策提供了更为全面、科学、客观的支持。

Abstract

In order to give full play to the asset value of data

the supervisory department of the China Securities Regulatory Commission attaches great importance to the management of big data.Through sorting out the demand and particularity of big data governance in securities and futures industry

a thorough study on the big data governance system of securities and futures industry was made

which mainly includes four aspects.Through the implementation of the data engineering construction of the China Securities Regulatory Commission

the deep-seated problems in the management of big data in the securities and futures industry were further discovered

such as co-construction and sharing of projects

multi-source data checking

and so on.Finally

a super large data management platform was proposed to guarantee the construction of big data engineering in an all-round way and provide more comprehensive

scientific and objective support for supervision and decision-making.

关键词

Keywords

references

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