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

  • Shaofeng Zhang
  • , Wei Xiong
  • , Wancheng Ni
  • , Xin Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

30 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number17
JournalFinancial Innovation
Volume1
Issue number1
DOIs
Publication statusPublished - 1 Dec 2015
Externally publishedYes

Keywords

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

ASJC Scopus subject areas

  • Finance
  • Management of Technology and Innovation

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