Internet consumer loans refer to short-term, micro-credit consumer loan services provided to consumers by financial institutions, quasi-financial institutions and Internet enterprises with the help of Internet technology, which are unsecured and unsecured. The whole process of application, review, lending and repayment is completed online. Compared with traditional consumer finance, Internet consumer finance business (Internet consumer finance business in this report mainly refers to Internet consumer credit business, the same below) has incomparable advantages in reducing capital cost, improving business efficiency and reducing information asymmetry.

In the whole process of technology empowerment business, big data and model output ability are the core.

(1) The Foundation and Core of Internet Consumer Credit-Big Data

The characteristics of Internet consumer credit products, such as inclusiveness, small dispersion and pure credit without mortgage, determine the importance of technology in the Internet consumer credit market. The deepening of financial technologies such as big data, artificial intelligence, cloud computing and blockchain has promoted the rapid development of Internet consumer finance and further improved the efficiency of its innovation speed. Among them, the application of big data is the foundation and core of Internet consumer credit, and Internet consumer credit business can also be called big data consumer credit business. The processes of Internet consumer credit before, during and after lending are all based on big data. In addition, the application ability and model output ability of big data are also the core capabilities of the Internet consumer finance platform.

(2) Three modes of Internet consumer credit big data acquisition.

There are three main modes for Internet consumer finance platform to obtain data. First, Internet companies mainly rely on the massive data accumulated by Internet business ecosystems such as their own e-commerce platforms or social platforms to obtain user information, mainly facing the existing customer groups in the company ecosystem, and generally adopt a white list system for credit granting. Represented by Weizhong Bank under Tencent, Ant Financial under Alibaba and JD.COM Digital Branch under JD.COM Group. Second, traditional commercial banks use the data information opened by their own accounts or government platforms to build their own big data platforms, or obtain data through cooperation with existing Internet companies, mainly for existing customers of banks, with high customer qualification requirements. This model is mainly suitable for large commercial banks, and it is difficult for small banks to obtain the data used by large banks to carry out big data credit business. Third, by obtaining scattered, multidimensional and low-saturation third-party big data (including self-collected data and third-party data), we adopt advanced big data processing technology to develop credit business model. This model is generally oriented to the whole network customers, and the credit is approved in real time. It is mainly suitable for small and medium-sized financial institutions, represented by new online banking and vertical staging platform.