How to build a big data analytics platform for the banking industry

One is the formation of strategic cooperation between banks and e-commerce platforms. The banking industry*** enjoys the operating data of small and micro enterprises on the e-commerce platform and the personal information of the operators, and the e-commerce platform recommends to the bank high-quality enterprises with lending intentions, and the bank determines the credit level of the enterprise and grants credit lines through the information of transaction water, buyer and seller evaluations, and so on. The Construction Bank has made useful attempts in this regard. In addition there are also cases of banks participating in e-commerce and carrying out data cooperation.

The second is that banks build their own e-commerce platform. Banks build their own e-commerce platforms to gain independent voice of data resources. While providing value-added services to customers, it also obtains customers' dynamic business information and lays the foundation for the development of micro-credit, which is the driving force for banks to build e-commerce platforms. 2012, the Construction Bank took the lead in launching the "Sunrong Business", which provides B2B and B2C customer operation modes, covering the fields of commodity wholesale, commodity retail and housing transactions, providing customers with information dissemination, information management, and information security, and providing them with the most advanced information. It provides customers with information dissemination, transaction matching, community services, online financial management, online customer service and other ancillary services, and the financial services it provides have been expanded from payment and settlement, hosting and guarantee to the entire process of online financing services for merchants and consumers.

Third, banks have established third-party data analysis intermediaries specializing in mining financial data. For example, some banks have expanded their one-on-one cooperation with e-commerce platforms to a "three-way cooperation", whereby a third-party company is responsible for data docking between the bank and the e-commerce company, and provides value-added services for the bank and its subsidiaries in data analysis and mining. The core of the service is to analyze customers' transaction data and accurately predict their consumption and transaction needs within a short period of time, so as to accurately grasp their credit needs and other financial service needs.

The banking industry has the experience and talent to handle data. Data analysis and econometric modeling techniques have been more fully utilized in the traditional data field, and a large number of talents proficient in econometric analysis techniques have also been developed. For example, in the area of risk management, China's financial regulators, in the process of international harmonization, have introduced international standards such as the Basel New Capital Accord, which provides the banking industry with a system of risk management tools. Under this framework, banks utilize historical data to measure various types of risks, such as credit, market, operational, and liquidity risks, and internal rating-related technical tools have been brought into play, and are widely used in important areas such as loan evaluation, customer access and exit, credit approval, product pricing, risk classification, economic capital management, and performance evaluation.