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Research on Enterprise Credit System under the Background of Big Data

机译:大数据背景下的企业信用体系研究

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摘要

Big data technology available in a reasonable time, integration management, processing all kinds of complicated information of small and medium-sized enterprises, portrays the enterprise actual situation, to eliminate the impact of asymmetric information, and thus effectively enhance its credit information service function, so its application value. Central Banks in the process of using big data at the grass-roots level, should be allowed to exist some error rather than take unnecessary measures to completely eliminate the deviation of the data need to pay attention to the data dependency, not pay attention to the cause and effect, need to get all the information rather than part of the sampling information. Grassroots central bank should refer to foreign banking companies big data applications of advanced cases, propel the construction of small and medium-sized enterprise information database, thus promoting service ability of small and medium-sized enterprise credit information, promote small and medium-sized enterprise credit system construction pace.
机译:大数据技术可在合理的时间内提供,整合管理,加工各种复杂的中小企业的复杂信息,描绘企业实际情况,消除不对称信息的影响,从而有效地提升其信用信息服务功能,所以它的应用价值。中央银行在基层级别使用大数据的过程中,应该允许存在一些错误,而不是采取不必要的措施来完全消除数据的偏差需要注意数据依赖性,不注意原因和效果,需要获取所有信息而不是部分采样信息。基层中央银行应参考外资银行公司的大数据应用先进案件,推动中小企业信息数据库的建设,从而推动中小企业信用信息的服务能力,促进中小企业信用体系建设步伐。

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