Value of big data to finance: observations on an internet credit Service Company in China

被引：19

作者：

Zhang S. ^{[1
]}

Xiong W. ^{[1
]}

Ni W. ^{[2
]}

Li X. ^{[3
]}

机构：

[1] 100Credit Financial Information Service Co., Ltd, Beijing

[2] Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun E Rd, Beijing

[3] Department of Information Systems, City University of Hong Kong, Kowloon Tong

来源：

Financial Innovation | / 1卷 / 1期

关键词：

Big data; Credit rating; Finance; Information economics; Value of information;

D O I：

10.1186/s40854-015-0017-2

中图分类号：

学科分类号：

摘要：

Background: his paper presents a case study on 100Credit, an Internet credit service provider in China. 100Credit began as an IT company specializing in e-commerce recommendation before getting into the credit rating business. The company makes use of Big Data on multiple aspects of individuals’ online activities to infer their potential credit risk. Methods: Based on 100Credit’s business practices, this paper summarizes four aspects related to the value of Big Data in Internet credit services. Results: 1) value from large data volume that provides access to more borrowers; 2) value from prediction correctness in reducing lenders’ operational cost; 3) value from the variety of services catering to different needs of lenders; and 4) value from information protection to sustain credit service businesses. Conclusion: The paper also discusses the opportunities and challenges of Big Data-based credit risk analysis, which needs to be improved in future research and practice. © 2015, Zhang et al.

引用

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