大数据背景下的企业财务风险防范研究——以万科集团为例
Research on Enterprise Financial Risk Prevention under the Background of Big Data—Taking Vanke Group as an Example

本文以万科集团为研究对象，探讨在大数据背景下企业优化财务风险防范的措施。本研究发现：万科集团利用大数据技术增强了风险识别、风险预测、风险管理到风险监测各个环节的科学性，但是仍存在数据库单一、缺乏对业务过程的风险识别等问题。本文的研究可以为万科更好地利用大数据技术优化财务风险管理体系以及其他有志于将财务风险管理与大数据技术融合的企业提供一定的参考。
This paper takes Vanke Group as the research object to discuss the measures for enterprises to optimize financial risk prevention under the background of big data. This study finds that Vanke Group has enhanced the scientificness of risk identification, risk prediction, risk management and risk monitoring by using big data technology, but there are still problems such as single database and lack of risk identification for business processes. The research in this paper can provide some references for Vanke to better utilize big data technology to optimize its financial risk management system and other enterprises that are interested in integrating financial risk management with big data technology.