Overview

With the impact of Internet finance and the accelerated pace of interest rate liberalization, data assets have gradually become an increasingly important production factor for modern banks. The advent of the data society makes it easier for the mobile Internet and big data to collect customer information, and the financial needs of customers can be more easily realized at low cost.

Orange Cube provides big data professional services and innovative solutions for enterprises, drives the transformation of data value from traditional business support to a business model that promotes business decision-making, and creates a new business model system driven by data technology (DT, Data Technology). Further support businesses such as retail banking, wealth management, consumer credit, community finance, and online supply chain financing to promote the transformation and leapfrog development of the traditional financial industry.

Features and Benefits

Big data defines strategic direction
With the help of the user portrait function of big data, it can better help customers segment user groups and customize user group service plans on demand.

Data-driven transformation road
Through the analysis and interpretation of data, the management level of marketing, marketing, and products can be improved in a targeted manner. Taking the single point and cycle of data fluctuations as the entry point, the product type and activity plan can be changed. and sales strategies, seek new profit growth points in the era of Internet finance, break through time and space, and create the ultimate user experience. In the Internet world, information flows, and it can deliver valuable data to stakeholders without breaking the constraints of time and space. .

Through the accumulation and analysis of data, product innovation, marketing management, and risk monitoring can be carried out in a targeted manner, creating more humanized services for users and creating greater value.

Data-as-a-Service business personnel can observe and analyze changes in data groups, and understand and use data through the data visualization platform.

The linearly scalable architecture system adopts a big data technology platform to meet the needs of linear and horizontal expansion, comprehensively improve data processing capabilities, and can manage structured data, semi-structured data, and unstructured data in a unified manner.