摘要
文章针对大数据背景下企业财务风险管理的优化思路进行了深入研究,首先分析了大数据背景给企业财务风险管理带来的机遇,包括提供信息支撑、降低人工依赖、提高财务数据可靠性等方面的优势;接着探讨了大数据背景对企业财务风险管理带来的挑战,如信息化建设资金投入需求大、财务风险管理规范需与时俱进、财管与大数据交叉人才欠缺等方面;最后提出了一些优化策略,如持续深化财务风险管理规范改革、科学建立企业财务风险预测预警机制、外引内培交叉人才、牢抓企业战略方向等方面的措施,以期为企业财务风险管理提供更好的支持和保障。
This paper conducts an in-depth study on the optimization ideas of enterprise financial risk management under the background of big data.Firstly,it analyzes the opportunities brought by the background of big data to the financial risk management of enterprises,including the advantages of providing information support,reducing manual dependence and improving the reliability of financial data.Then,it discusses the challenges brought by the background of big data to the financial risk management of enterprises,such as the large capital investment demand of information construction,the need to keep pace with The Times of financial risk management norms,and the lack of cross-talents between financial management and big data.Finally,some optimization strategies are proposed,such as continuously deepening the reform of financial risk management standards,scientifically establishing the enterprise financial risk forecasting and early warning mechanism,attracting and cultivating cross-talents from outside and grasping the strategic direction of enterprises,so as to provide better support and guarantee for enterprise financial risk management.
作者
梁晓丽
Liang Xiaoi(Luoyang Research Institute,Dalian University of Technology,Luoyang,Henan,471000)
出处
《市场周刊》
2024年第24期33-36,共4页
Market Weekly
关键词
大数据背景
企业财务风险管理
优化
big data background
enterprise financial risk management
optimize
作者简介
梁晓丽,女,河南洛阳人,大连理工大学洛阳研究院,研究方向:财务风险管理。
