Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/176409 
Erscheinungsjahr: 
2015
Quellenangabe: 
[Journal:] Financial Innovation [ISSN:] 2199-4730 [Volume:] 1 [Issue:] 17 [Publisher:] Springer [Place:] Heidelberg [Year:] 2015 [Pages:] 1-18
Verlag: 
Springer, Heidelberg
Zusammenfassung: 
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.
Schlagwörter: 
Big data
Credit rating
Information economics
Value of information
Finance
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