Big data analytics and its impact on efficient banking in Europe-Asia

Ameliya Eleanor Zarah, Georgiana Jane Rebecca, Isla Elodie Winifred
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Abstract

Banking as a comprehensive data topic is constantly evolving under the advertising influences of the era of big data. Checking out the innovative significant details analytic resources as Data Mining methods is crucial for the banking industry, which strives to reveal valuable information from the overwhelming amount of information and achieve much better strategic management as well as client satisfaction. To offer good guidance for future development and research, a most comprehensive current evaluation of the present investigation condition of DM in banking will be incredibly advantageous. Since pre-existing reviews only handle the uses until 2013, this particular newspaper seeks to fill up this particular exploration gap, plus provides the substantial progressions and most recent DM implementations in banking article 2013. By gathering and analyzing the fads of study concentration, information online resources, technical aids, and information analytical resources, this particular newspaper contributes to getting important insights regarding the succeeding advancements of equally DM along with the banking industry, in addition to an extensive 1 stop guide table. Additionally, we identify the primary key obstacles and provide a summary for those interested parties facing the difficulties of big data.
大数据分析及其对欧亚银行效率的影响
银行作为一门综合性的数据学科,在大数据时代的广告影响下不断发展。检查创新的重要细节分析资源作为数据挖掘方法对于银行业至关重要,因为银行业努力从海量信息中揭示有价值的信息,从而实现更好的战略管理和客户满意度。为了更好地指导未来的发展和研究,对银行业信息管理的研究现状进行最全面的评价将是非常有利的。由于已有的评论只处理2013年之前的使用情况,所以这份特别的报纸试图填补这一特殊的探索空白,并在2013年的银行业文章中提供了实质性的进展和最新的DM实现。通过收集和分析研究集中的趋势、信息在线资源、技术辅助和信息分析资源,这份特别的报纸除了提供广泛的1站指南表外,还有助于获得关于平等DM与银行业后续发展的重要见解。此外,我们确定了主要的关键障碍,并为那些面临大数据困难的相关方提供了总结。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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