Research On Application Of Big Data On Financial Decision-Making

At present,with the rise of new generation information technologies in all walks of life such as big data and artificial intelligence,it has become an inevitable trend for enterprises to shift to the digital stage.The core value of big data technology is to obtain a more accurate forecast through the analysis of massive data,and provide reliable basis for decision makers.As an important core content of enterprise financial management,the accuracy of financial decisions has a decisive impact on the development of enterprises.Therefore,the repeated and complicated financial data and business data can be deeply integrated by the help of efficient and convenient tools and platforms of big data technology,then the value behind the data can be seen in real time,so as to comprehensively improve the financial decision-making ability.At the same time,it also hasa certain role in boosting the business operation efficiency and industry competitiveness of enterprises.This paper mainly uses three research methods to analyze and study the application of big data technology in financial decision-making.They are literature research,comparative analysis and case analysis.First,this paper analyzes the development status of big data technology application in enterprise financial decisionmaking;Secondly,this paper explains the specific application path of big data technology in enterprise financial decision-making,through the application tools,application processes,functional requirements and platform design of big data technology in enterprise financial decision-making process;Finally,taking a manufacturing enterprise as an example,based on the analysis of the enterprise’s industry background and strategic planning,this paper shows three representative big data technologies:Python crawler,clustering K-means algorithm,and visualization of four capability indicators for financial statement analysis.Using these technologies,we demonstrate the ways to make and evaluate business and investment decisionsfor AJ Mining Company.The paper constructs the framework of the big data financial decision and supportplatform model from four levels:data processing,data analysis,data presentation,and data decision-making.In the process of integration of big data technology and financial decision-making,big data technology can obtain more abundant external data,accurately grasp market dynamics through data processing and analysis,and provide an important basis for enterprise managers to formulate feasible financial decisionmaking opinions,so as to improve the efficiency and quality of enterprise’s overall financial decision-making.At last,the paper analyzes the challenges and coping strategies faced by the wide application of big data technology in the field of enterprise financial decision-making at this stage,and makes a prospect for the future integration of big data technology and financial decision-making.