The difference between the application of big data in bank intermediary business and traditional intermediary business

Hello, what is the difference between the application of big data in bank intermediary business and traditional intermediary business? The difference between the application of big data in bank intermediary business and traditional intermediary business is that the application of big data in bank intermediary business is adapted to the new environment, with less risk and income from service fees. Banks do not use or directly use their own funds, and conduct business in a way that customers become busy. The traditional banking business is mainly to absorb deposits and lend, which is risky and its income comes from interest income. If the loan cannot be collected, it will cause changes in the bank's balance sheet, which is a self-operated business. Intermediary business refers to the business that commercial banks handle payment and other entrusted matters for customers as intermediaries, provide various financial services and charge fees, including traditional intermediary business and off-balance-sheet business. The application of big data in bank intermediary business is adapted to the new environment, and its risk is small, and its income comes from service fees. Banks do not use or directly use their own funds, and conduct business in a way that keeps customers busy. The traditional banking business is mainly to absorb deposits and lend, which is risky and its income comes from interest income. If the loan cannot be collected, it will cause changes in the bank's balance sheet, which is a self-operated business.