摘要
互联网供应链金融主要通过大数据技术信息处理来实现有效的风险管理,与传统的供应链金融相比,进一步降低了中小企业的融资门槛。然而,由于大数据采集和处理的高成本,保证数据真实性的难度以及侵犯用户隐私和安全的敏感性,这种方法的效果被削弱。因此,通过加强互联网供应链金融和社交网络的深度整合,培养大数据的核心处理能力,有必要降低获取和处理大数据的成本。通过加强对原始数据的检查,可以保证数据的真实性,并可以根据实际需要将原始数据转化为专业的知识资产,确保交付期间的数据安全。为了保护用户的隐私,最好通过使用第三方数据脱敏产品来对数据进行脱敏。
Internet supply chain finance realizes effective risk management mainly through big data technical information processing.Compared with traditional supply chain finance,Internet supply chain finance further reduces the financing threshold of small and medium-sized enterprises.However,due to the high cost of big data's collection and processing,the difficulty of ensuring the authenticity of data and the sensitivity of violating user privacy and security,the effectiveness of this method is weakened.Therefore,it is necessary to reduce the cost of obtaining and dealing with big data by strengthening the deep integration of Internet supply chain finance and social network,and cultivating big data's core processing ability.By strengthening the inspection of the raw data,the authenticity of the data can be guaranteed,and the To translate raw data into professional knowledge assets according to actual needs to ensure data security during delivery.In order to protect the privacy of the user,the third party data desensitization product is best used to desensitize the data.
出处
《数码设计》
2018年第9期4-4,共1页
Peak Data Science
关键词
大数据
互联网供应链金融
风险管理
信息治理
隐私
big data
Internet supply chain finance
risk management
information governance
privacy
