Big Data in Finance
Big Data in Finance
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DOI：
10.1201/b18050-22
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Taruna Seth;V. Chaudhary
中科院分区：
文献类型：
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作者：
Taruna Seth;V. Chaudhary
大数据技术的问题，不仅在金融领域，而且在总体上，是过去几十年科技进步的逻辑模式。范式的变化导致了这样一个事实，即今天的管理者和经济学家不仅要处理大量的信息，还要处理新的数据类型。处理新的格式文件可以使管理者做出更准确、更有效的财务决策。有必要说明，为什么这些决策对企业很重要。它们使实现现代组织为自己设定的目标成为可能：增加企业价值，增加投资吸引力，提高预测质量。在一个运作良好的世界体系中，这种情况导致了教育，特别是金融专业人员教育领域的新趋势的出现和发展。着眼于俄罗斯的成就和西方基础学科和应用学科的研究，应该注意到，现代金融家正日益融入大数据技术环境。他需要了解请求的措辞结构，才能胜任管理工作。为此，使用搜索程序、使用搜索操作符、使用搜索机器人的技能很重要。在理论层面上，未来的金融家必须学习战略、统计、数学、系统、随机、概率和其他类型的分析。
The question of Big Data technologies, not only in the financial sector, but in general, is a logical pattern of technical and scientific progress of the last decades. The change of paradigms has led to the fact that today’s managers and economists have to work not only with large volumes of information, but also with new types of data. Processing the new format files allows managers to make more accurate and effective financial decisions. It is necessary to say, why these decisions are important for business. They make it possible to achieve the goals that modern organizations set for themselves: increasing the value of the enterprise, increasing investment attractiveness, improving the quality of forecasting. This situation in a well-functioning world system has led to the emergence and development of new trends in education, in particular, in the field of education of financial professionals. Focusing on Russian achievements and Western researches of fundamental and applied disciplines, it should be noted that the modern financier is increasingly integrated into the Big Data technology environment. He needs knowledge of the construction of wording of requests to manage competently. For this, the skills of working with search programs, the use of search operators, work with search robots are important. At the theoretical level the future financier must study strategic, statistical, mathematical, systemic, stochastic, probabilistic and other types of analysis.