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A Blockchain based Credit Analysis Framework for Efficient Financial Systems

机译:高效金融系统的基于区块链的信用分析框架

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Blockchain the technology of the decade which has disrupted the complete technological sector and moreover has plotted its jurisdiction over almost all other industrial sectors with a significant coefficient. The credit industry in terms of credit cards and also the credit system of the financial supply chain management proves to be one of the competent use cases for the blockchain technology to be tendered upon. In the credit card-based system the structure terms to be quite complicated and also there are a lot of challenges in order to pass a credit fund to a particular customer and also there are huge processing and validation charges that are levied upon. Moreover, the financial organization which is responsible for dedicating a card to the user for smooth processing of the credit funds, also has to fulfil some tenacious check on the customers where the verification procedure lies into multiple segments to determine the pay term history, CIBIL Score and also the capability of the customer to pay out the credit funds. Also, in the financial supply chain management, the credit system is indeed one of the toughest systems to be managed as in Financial Supply Chain Management (FSCM), the transactions are not in lower dimensions of few hundred thousand dollars rather are in millions and billions. Also, in the credit system of the FSCM, the credit exposure or the limit of a particular client is dynamic and the credit limit or exposure depends upon a wide variance of factors such as previous pay term history, average days past due, average term revenue, and revenue insurance. Moreover, the analysis and the validation of the capability of the customer to pay a certain amount is quite a time intensive and depends upon variables from numerous sectors. Therefore, a blockchain based environment may allow to assess the eligibility of a customer over the order limit or credit limit that have been demanded. Hence a blockchain based credit analysis framework can be very useful for gathering information about the customers from multiple financial sectors, analysis of the eligibility of the customer to stand the credit and to calculate the credit score of the customers based on the consensus of multiple stakeholders in the network including banks, insurance agencies and other third-party financial organizations.
机译:区块链这个十年的技术已经破坏了整个技术领域,而且已经以相当大的系数绘制了其对几乎所有其他工业领域的管辖权。信用卡方面的信贷行业以及金融供应链管理的信贷系统被证明是要招标的区块链技术的有效用例之一。在基于信用卡的系统中,结构术语非常复杂,并且将信贷资金传递给特定客户也面临很多挑战,并且还要征收大量的处理和验证费用。此外,负责将卡专用于用户以顺利处理信贷资金的金融组织还必须对客户进行一些顽强的检查,其中验证程序分为多个部分,以确定支付期限历史,CIBIL分数以及客户支付信贷资金的能力。同样,在金融供应链管理中,信用体系确实是最难管理的系统之一,就像在金融供应链管理(FSCM)中一样,交易不是在几十万美元的较低维度中,而是在数百万美元中。 。同样,在FSCM的信用体系中,信用风险或特定客户的限额是动态的,信用限额或信用取决于许多因素,例如先前的付款期限历史记录,到期的平均天数,平均期限收入以及收入保险。此外,对客户支付一定金额能力的分析和验证是相当耗时的,并且取决于来自多个部门的变量。因此,基于区块链的环境可以允许评估超过要求的订单限制或信用额度的客户的资格。因此,基于区块链的信用分析框架对于收集来自多个金融部门的客户的信息,分析客户的信用资格以及基于多个利益相关者的共识来计算客户的信用评分非常有用。该网络包括银行,保险机构和其他第三方金融组织。

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