Financial Risk Prediction and Management of Enterprises Based on Financial Big Data

Abstract

With the financial globalization, the data management mode of the financial industry has shifted from data sets to multi-service integration, and the construction of data centers in the financial industry has also been rapidly launched around the needs of business development. Therefore, financial enterprises need a lot of data analysis as the basis for decision-making. It is necessary to conduct more in-depth exploration and research on how to effectively integrate BD(big data) with diverse structures in the financial field, realize efficient data collection, and improve data processing efficiency. In the BD environment, how to use big financial BD technology to prevent financial risks in financial audit has become a widespread concern. This paper expounds the era of BD and its characteristics, and puts forward how to build a data platform for enterprise financial risk prediction and how to collect, manage and analyze data under the background of BD, in order to put forward feasible suggestions for financial audit on how to prevent financial risks under the background of BD.