Interpretation and Prospect of Personal Credit Evaluation Based on Big Data

School of Economics, Xi’an University of Finance and Economics, Xi’an, China

^* Corresponding author: 15319170733@163.com

Abstract

In the current booming development of financial technology, in order to improve the quality of personal credit evaluation, enhance platform prediction efficiency, and improve the credit evaluation system, this article deeply explores effective methods for building a credit evaluation service platform. Compared with traditional financial data, these platforms fully leverage the significant characteristics of big data, such as large scale, rapid circulation, and diverse types. Through a comprehensive investigation of the current situation of personal credit evaluation in China and in-depth analysis of the key role played by big data in credit evaluation, important achievements have been made in the research. It not only lays a solid theoretical foundation for building a reliable and accurate AI driven evaluation system, but also provides valuable decision-making references for policy makers, helping them make scientific decisions in balancing technological innovation and data ethics, innovating data collection and usage methods, promoting cross platform data sharing, and effectively addressing opportunities and challenges in the field of credit evaluation.