Banking Solution_Industry Solutions_Solutions_Shanghai XK Digital Technology Co., Ltd.

Banking Solution

With the rapid development of the internet finance market and the introduction of new financial regulatory policies, banks face challenges in the reasonable and compliant use of personal data when implementing inclusive finance.

Problems And Challenges

Development of Internet Finance

The rapid development of internet finance has made business transformation for banks inevitable. How to rely on technologies such as big data and cloud computing to achieve deep integration between business and banking on the internet is a challenge.
Regulatory Policy Requirements

Under the policy requirements of the China Banking Regulatory Commission, banks need to use data reasonably and comply with regulations while developing their business to protect personal information security.
Credit Risk And Marketing Pressure

On the one hand, banks need to vigorously develop their business, but on the other hand, they face difficulties in risk assessment and high marketing costs.

Solution

Big Data Risk Control

By using big data analysis technology to evaluate the customer's financial status, credit history, consumption habits, etc., risks can be predicted and evaluated. At the same time, customers can be monitored in real-time to prevent defaults or overdue payments. By connecting with traditional traffic, external internet traffic platforms, external access organization data can be controlled and scored, achieving white-box, integrated, and continuous risk control capabilities throughout the entire life cycle of pre-loan, during loan, and after loan businesses. The risk control model is mature and reliable, and risk control capabilities run through the entire business process.
Precision Marketing

Through big data analysis, customers' purchase preferences, behavior habits, etc. can be deeply understood, thereby accurately positioning customer needs and providing personalized credit products and services. In addition, data mining technology can be used to discover potential customer needs, thereby improving customer loyalty.

Customer Case

A certain branch of a state-owned bank launched a personal loan project. In the first half of 2022, the project had a total investment of 290 million yuan in the province. In terms of data applications, the bank's platform introduced the EffectSci comprehensive solution, enriched the production and operation-related credit risk evaluation dimensions through various types of operating risk information data, and assisted in improving the bank's credit service level. In terms of risk prevention and control, the standardized integration output of multi-dimensional enterprise risk data was achieved through the credit risk control model. This effectively prevented problems such as information asymmetry, lack of transparency, and incompleteness, and improved the efficiency and accuracy of the bank's credit risk prevention and control. In terms of credit management, a combination of manual review and risk control models was used to increase the credit loan coverage and financing amount within a controllable range.