The Application of Data-Driven Financial Risk Management in Multinational Enterprises

Abstract

With the intensification of global economic integration and market complexity, the financial risks of multinational enterprises will face severe challenges. The financial risk management system based on big data helps multinational enterprises track, predict and handle financial risks in advance. This article mainly introduces the basic concepts and core technical system of data-driven financial risk management, and elaborates on the specific implementation of key technologies such as data collection, risk prediction and assessment, and data visualization in multinational enterprises. The utilization of advanced big data technologies such as machine learning and statistics helps multinational enterprises identify risk points more accurately and improve decision-making efficiency. The main purpose of this article is to propose a scientific and comprehensive financial risk management system to multinational enterprises, helping them manage financial risks better in the complex and changeable global market and promoting their sustainable and stable development.