Big Data Application for Retail Banking

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. It introduces and explores real-time engines, provides real-time indicator display, and expands system delivery capabilities. It delivers intelligent marketing requirements and provides data empowerment for customers, marketing activities, and customer manager operations.

Project Construction

• Construction Timeline: September 2019 - March 2023 (deployed in multiple phases)
• Project Team:
  29 dedicated members:
  • 10 from the bank: 1 product manager, 1 technical manager
  • 19 from Hank Era: 10 back-end developers, 3 front-end developers, 4 test engineers

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 enhance 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. 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.