Research on Enterprise Credit System under the Background of Big Data

DOI

10.2991/wrarm-17.2017.77How to use a DOI?

Keywords

Big data; Enterprise Credit Information; Credit System; Apply

Abstract

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yingpeng Lai
AU  - Siqi Li
PY  - 2017/11
DA  - 2017/11
TI  - Research on Enterprise Credit System under the Background of Big Data
BT  - Proceedings of the Fifth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2017)
PB  - Atlantis Press
SP  - 443
EP  - 447
SN  - 1951-6851
UR  - https://doi.org/10.2991/wrarm-17.2017.77
DO  - 10.2991/wrarm-17.2017.77
ID  - Lai2017/11
ER  -