ROLE OF MACHINE LEARNING AND BIG DATA MINING IN FINANCIAL DECISIONS

Аннотация

INTRODUCTION financial success. It includes accurate financial Big data mining and machine learning analyses, reliable investment estimates, technology seek to transform the vast sea of selection of appropriate financing sources, and information into sources of deep analysis and setting future financial goals. comprehensive understanding through big data that appears amazingly quickly from multiple Hence, the financial decision-making process sources, from social media to sensors and requires a comprehensive analysis that includes websites. These developments embody economic, political, social, and environmental enormous challenges and opportunities in factors to reach solid and sustainable financial modern business, where understanding big strategies in light of a changing and volatile data becomes crucial for making strategic reality. From this point of view, the research decisions with confidence and effectiveness. In was designed into three papers: The first the financial context, big data is reflected in its included the research methodology and crucial role in enabling sound financial previous studies, the second dealt with the decision-making. Financial decisions are vital to theoretical side by presenting the literature on ensure companies' continued growth and research variables, and the third reviewed the https://www.theamericanjournals.com/index.php/tajmei 20 THE USA JOURNALS THE AMERICAN JOURNAL OF MANAGEMENT AND ECONOMICS INNOVATIONS (ISSN- 2693-0811) VOLUME 06 ISSUE07 practical side. and factors that affect the financial performance of the company. Moreover, data mining The First Topic highlights the importance of improving Research methodology financial decision-making processes, including 1.Research Problem providing accurate forecasts about future financial performance, identifying potential The accounting field faces many challenges opportunities and challenges, and improving related to big data, which is considered one of financial risk management. Data mining the most pressing. These include rapid changes technology can enhance the ability of in the financial and economic environment, the companies to make informed and data-driven phenomenon of financial corruption, the effects financial decisions, contributing to financial of globalization, a lack of knowledge of the latest success and sustainability in business. developments in Information Technology, and other challenges. We must plan quickly to 3. Research Aims overcome these obstacles and achieve the goals This research aims to: of the accounting profession by empowering A.Measuring the impact of big data mining accountants and taking advantage of the technology on financial decisions and making in possibilities of Information Technology. The companies. quality of accounting information is a vital issue today, especially after financial crises that B.Measuring the impact of machine learning negatively affected users of financial reporting. technology as a data mining and machine Information is essential in decision-making, learning technology on financial decisions . strategic policy development, and company 4. Research Assumes planning. Despite the abundance of data in this era, extensive data analysis is a big challenge for A.Data mining technology as a data mining and accountants and decision-makers who need machine learning technology positively help processing and using this data effectively. influences financial decisions. Therefore, analyzing big data and its role in B.Machine learning as a data mining and accounting is an important topic that requires machine learning technology positively careful discussion and analysis. Moreover, from influences financial decisions . the problem of research, the following 5. Research Variables questions arise: A.Independent variables: machine learning and The First question: In the realm of big data, big data mining. does the use of mining technology have a discernible impact on financial decisions? B.Dependent variable: financial decisions. The Second question: Does the use of machine 6. Research Methodology learning technology affect financial decisions The research adopted the inductive approach in 2. Research Importance reviewing and analyzing the literature from multiple sources, including foreign, Arab, and The importance of the research lies in local references. These sources included books, understanding how the purification of extensive scientific theses, and scientific articles data mining and machine learning can play a published in scientific journals and reviewing crucial role in improving financial decision- websites available on the International making processes through the importance of Information Network. Moreover, all these using big data analytics to examine and analyze sources have contributed significantly to financial statements comprehensively and expanding and strengthening the theoretical accurately, enabling financial analysts and side of research. decision make