New Era of Credit Analysis

Vidya Cm
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引用次数: 2

Abstract

Credit analysis is the evaluation of the credit worthiness of a business or an organisation done through historic data like audited balance sheets, forecasts in the form of budgets and cash flow, ratings given by credit rating companies, analysis of ratios, capital marketisation, share prices and many more benchmarks. However, in today’s world, “Big Data” is what is being spoken about by all. Data is collected every second from various sources like social media sites, online and offline purchases and so on. The emerging era of credit analysis is based on consumer behaviour online; their likes and dislikes, preference for the products they purchase and so on. Everything is recorded through “Big Data” and is accessible to judge whether a person is worthy of credit or not. All these are studied through complicated mathematical computations to analyse sequences of information within an ocean of data. These credit scorings can be provided within no time and are equally cost-efficient. The study focusses on the effectiveness of big data for credit analysis.      
信用分析的新时代
信用分析是通过历史数据(如经审计的资产负债表、预算和现金流形式的预测、信用评级公司给出的评级、比率分析、资本市场化、股价和更多基准)对企业或组织的信用价值进行评估。然而,在当今世界,“大数据”是人人都在谈论的话题。每秒钟都会从各种来源收集数据,比如社交媒体网站、线上和线下购买等等。新兴的信用分析时代是基于消费者在线行为的;他们的好恶,对他们购买的产品的偏好等等。一切都通过“大数据”记录下来,可以用来判断一个人是否值得信任。所有这些都是通过复杂的数学计算来分析数据海洋中的信息序列来研究的。这些信用评分可以在短时间内提供,而且同样具有成本效益。该研究的重点是大数据在信用分析中的有效性。
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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