大数据交易业务流程中的风险因素识别研究

Research on Risk Factor Identification in Business Process of Big Data Transaction

[目的/意义]大数据交易的发展有效促进了数据的流通和共享,提高了数据利用率。但是大数据交易有很多不确定性,交易过程存在着很多风险。从交易平台的角度出发,分析大数据交易过程可能存在的风险,有利于平台进行风险管理,促进大数据交易的发展与进步。[方法/过程]文章从大数据交易的业务流程出发,将其分为交易前、交易中、交易后三个阶段,分析各阶段可能存在的风险因素。[结果/结论]研究发现,大数据交易过程可能存在的风险有产品质量风险、信息风险、营销风险和监管风险,并根据识别结果提出规避风险的建议,为大数据交易的发展提供借鉴。

[Purpose/significance]The development of big data transaction has effectively promoted the circulation and sharing of data,improved the utilization rate of data.But there are many uncertainties in big data trading,there are many risks in the trading process.This paper analyzes the possible risks of the big data transaction process from the perspective of the trading platform.This research is conducive to the platform for risk management and promotes the development and progress of big data transaction.[Method/process]This paper starts from the business process of big data transaction,and divides it into three stages:pre-transaction,transaction,and post-transaction,and then analyzes the possible risk factors at each stage.[Result/conclusion]The study found that the risks that may exist in the big data transaction process are product quality risk,information risk,marketing risk and regulatory risk.According to the identification results,suggestions for risk avoidance are proposed to provide reference for the development of big data transaction.