Application of Innovative Risk Early Warning Model Based on Big Data Technology in Internet Credit Financial Risk

Bingqiu Zhang
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引用次数: 2

Abstract

The emergence of the new economic model of Internet credit industry brings convenience to people's lives, and it also impacts the business model of traditional commercial banking to a great extent. How to better improve the operation mode, correctly assess and avoid the risks of Internet finance, and create a healthy, orderly, safe and sustainable development environment of Internet finance industry is an important research topic in this industry under the current situation. This paper studies the application of innovative risk early warning model based on big data technology in Internet credit financial risk assessment, aiming at maximizing the utilization efficiency of internal and external data, building a timely, accurate and effective early warning system with independent characteristics, and creating a sharp weapon for intelligent risk early warning. In order to promote the healthy and benign development of China's Internet finance industry.
基于大数据技术的创新型风险预警模型在互联网信贷金融风险中的应用
互联网信贷行业新经济模式的出现,给人们的生活带来便利的同时,也在很大程度上冲击着传统商业银行的经营模式。如何更好地完善互联网金融运营模式,正确评估和规避互联网金融风险,营造互联网金融行业健康、有序、安全、可持续发展的环境,是当前形势下该行业的重要研究课题。本文研究基于大数据技术的创新风险预警模型在互联网信贷金融风险评估中的应用,旨在最大限度地提高内部和外部数据的利用效率,构建及时、准确、有效、具有独立特点的预警系统,打造智能风险预警的利器。以促进中国互联网金融行业的健康良性发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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