Author(s)

Jun Dai

Affiliation(s)

School of Business Administration, Baise University, Baise 533000, Guangxi, China.

Corresponding Author

Jun Dai

ABSTRACT

This study aims to explore the application of big data technology in commercial credit risk prediction, analyzing the opportunities and challenges it presents. The research reveals that big data technology offers significant advantages in credit risk prediction, notably enhancing the accuracy and real-time capabilities of such predictions. However, it also faces issues related to data quality, privacy protection, and model transparency. The study further suggests that future technological advancements will continue to propel the intelligentization of credit risk management, while emphasizing the need to strengthen attention to privacy and compliance.

KEYWORDS

Big data; Commercial credit; Credit risk prediction; Challenges and opportunities

CITE THIS PAPER

Jun Dai. Application of big data analytics in commercial credit risk prediction: challenges and opportunities. World Journal of Management Science. 2024, 2(3): 74-77. DOI: 10.61784/wms3037.

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