A bank retail big data application

Project Background
The predecessor of retail big data application is the risk operation data support system, which processes risk data based on big data components to shorten the batch operation time. Introduce and explore real-time engines, provide real-time indicator display, and expand system delivery capabilities; Deliver intelligent marketing requirements and provide data empowerment for customer, activity and customer manager marketing.

Project Construction
Construction period:
2019.9-2023.3 is iterated online in multiple stages;
Project members:
There are 29 project input members, 10 in the bank and 19 in Hank era, including 1 product manager, 1 technical manager, 10 back-end, 3 front-end and 4 test

Customer Value
retail big data application is a new risk data support system that is application-oriented, data-centric, and based on hadoop platform. The construction and promotion of the system can promote the bank's credit decision-making efficiency and improve the bank's risk management data intelligence and intelligent marketing level.

Business Innovation

retail big data application relies on the rich and mature technical system of the big data platform, and based on the bank's retail credit risk control, customer group operation and other business fields, the data processing method has gradually evolved from batch processing service to real-time, service-oriented and intelligent, thus improving the timeliness and accuracy of retail big data in the use process.