Abstract
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 language | English |
|---|---|
| Article number | 17 |
| Journal | Financial Innovation |
| Volume | 1 |
| Online published | 24 Dec 2015 |
| DOIs | |
| Publication status | Published - 2015 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 17 Partnerships for the Goals
Research Keywords
- Big data
- Credit rating
- Information economics
- Value of information
- Finance
Publisher's Copyright Statement
- This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/
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