大数据技术在金融领域的应用分析

A. Bataev
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引用次数: 9

摘要

过去几年全球发展的特点是在经济发展的所有领域大量采用了信息和通信技术。近年来,数字技术的应用呈现出爆炸性的特点。近年来,“数字经济”一词出现并不是巧合,它指的是在世界经济的各个领域使用最先进的数字技术。如今,数字化转型几乎发生在经济发展的所有领域,例如工业领域的工业4.0,金融领域的金融科技。数字化转型的主要突破技术是云计算技术、网络物理系统、人工智能和大数据分析处理技术。数字化现代化的动力之一是大数据方向。这一领域的快速发展可以用信息的间歇性增长来解释,这导致不可能应用经典的方法和工具来处理现有的数据。分析了大数据领域信息处理的技术和方法。展望了大数据领域各部门的未来发展。开展经济发展各领域大数据市场研究;确定了这一领域的领导者。分析了作为市场主体之一的金融机构大数据应用的主要方向。开展金融领域大数据市场研究;财务指标、市场增长动态确定。指出了阻碍金融机构引入大数据的主要原因。对金融领域大数据应用的进一步发展进行了预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of the Application of Big Data Technologies in the Financial Sphere
The last years’ global development is characterized by the mass introduction of information and communication technologies in all spheres of economic development. The implementation of digital technologies acquired explosive character recently. It is no coincidence that the term "digital economy", indicating the use of the most advanced digital technologies in various sectors of the world economy, has emerged in past years. Today, digital transformation occurs in virtually all areas of economic development, for example, Industry 4.0 in industry, Fintech in the financial sector. The main breakthrough technologies of digital transformation are cloud computing technology, cyber - physical systems, artificial intelligence, and technologies for analysis and processing of big data. One of the drivers of digital modernization is the big data direction. The rapid development of this sphere is explained by the intermittent growth of information, which leads to the impossibility of applying classical methods and tools for processing available data. The paper analyzes the technologies and methods of processing information in the field of big data. Future development of the sectors of the field of big data is given. The research of the big data market in various sectors of economic development was conducted; the leaders in this field are identified. The main directions of using big data in financial institutions as one of the key players in the market are analyzed. The study of the big data market in the financial sphere was carried out; financial indicators, dynamics of the market growth were determined. The main reasons that prevent the big data introduction in financial institutions are shown. The prognosis for the further development of the use of big data in the financial sphere is given.
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