Solution Overview
Data Mid-tier Platform Solution
Sunline’s generalized data mid-tier platform covers data acquisition, data storage and calculation, data service, data application, data asset management, data development, operation and maintenance as well as other data capabilities. It not only accumulates and precipitates data but also respond to demands efficiently and quickly, realizing data capability reuse and give full play to the value of data assets. The narrow sense of data middle platform mainly refers to the enterprise level data service center which provide a data service between business system, data platform as well as the upstream and downstream system. It makes the data form a virtuous loop between the data platform and business system, realizing a decoupling and closely interaction between applications and data. The solution achieves the sharing and using of data between various systems via centralizing management and other methods to exchange the enterprise data in various systems, giving full play to the value of data assets and makes the data servitization a reality.
Scheme architecture
Solution Advantages
Rich implementation experience
With expert team and rich practical experience, Sunline Data Middle Platform Solution has provided financial industry data platform and data service for many financial institutions such as Bank of Nanjing, Huishang Bank, Ping An Bank and Bank of Jinhua, etc.
Flexible elastic and scalable platform
The solution adopts elastic and scalable data service platform based on distributed clustering, which has visual cluster monitoring and operation and maintenance management functions and has online interface-based cluster expand and shrink capacity
Empowering intelligent scene service
Sunline Data Middle Platform Solution can cascade data assets of basic data platform, index engine, label engine, risk engine and AI engine to provide recommendation, risk control and financial service functions that are complex and suitable for actual business scenarios
Solution Values
Quick response
Quick response allowing services to be released quickly and respond quickly to new business through a combination of shared services
Performance improvement
Performance improvement allowing developers to be more focused on one area, enabling faster and easier development and maintenance
Costs reduction
Costs reduction based on the same service. This way, customer does not need to invest new and repeated development efforts to reduce labor costs
Data accumulation
Data accumulation of data of all lines are deposited in the same set of middle-end service and data assets are accumulated continuously to give full play to the value of big data
Services evolution
Services evolution with general services evolving into more robust services and basic services evolving into scenario services, becoming valuable assets for banks
Product Composition
Index management platform
Data service platform
system Label management platform
Intelligent decision engine
Related program recommendation
