Enables high-level data integration and capability reuse through four key dimensions: platform consolidation, data governance, service development, and scenario activation to achieve data-as-a-service.
As digitalization continues to grow in China, the market for data middle platforms is expanding rapidly. However, enterprises still face several key challenges.
Lack of Strategic PlanningDue to the absence of a clear strategic roadmap, investments are high while returns remain low, with scattered resources and limited coordination.
Overemphasis on TechnologyEnterprises often overlook user experience and misjudge the true business value of technology.
Lack of Supporting Institutional FrameworksWithout strong business levers or governance mechanisms, efforts are fragmented and results fall short of expectations.
GienTech´s Data Middle Platform delivers an integrated solution that is unified, intelligent, platform-based, and service-oriented. By leveraging the computing, storage, and scalability capabilities of a big data platform, it enables financial institutions to achieve high levels of data integration and reuse of data capabilities throughout their digital transformation journey. Centered around four strategic pillars—platform consolidation, data governance, service enablement, and scenario activation—the platform supports financial institutions through the full process of transforming business operations from data digitization to data-as-a-service.
Built on a distributed microservices architecture, GienTech´s Data Middle Platform comprises six core modules: Data Development & Management Platform, Data Asset Management Platform, Data Service Platform, Data Integration Platform, Data Exchange Platform, and Operations & Maintenance Platform.
- Data Development & Management Platform
Covers project planning and data development, enabling integrated development management to ensure data consistency and improve development efficiency.
- Data Asset Management Platform
Covers data asset operations and governance. It ensures data quality through a closed-loop governance model and activates data value through operational mechanisms.
- Data Service Platform
Enhances the data consumption journey—including service discovery, registration, subscription, and feedback—to continuously improve user experience and maximize the value of data assets.
- Data Integration Platform
Supports data model integration, metric computation management, tag computation, and API management.
- Data Exchange Platform
Enables both offline and real-time data collection and exchange.
- Operations & Maintenance Platform
Manages task scheduling and resource monitoring to ensure smooth and reliable platform operation.
- Rapid Deployment
Enables fast, ground-up construction of a digital operations platform powered by a data middle platform.
- Technology Foresight
Designed to adapt to emerging technologies and evolving data and application landscapes, ensuring optimal time-to-market across diverse use cases.
- Seamless Integration
Integrates smoothly with existing big data platforms (Hadoop, Spark, Kafka) and business systems, supporting a progressive data middle platform rollout.
- Agile Iteration and Optimization
Accelerates data middle platform implementation while ensuring efficient iteration cycles for optimized performance, application development, and system operations.
- User-Centric and Application-Oriented
Empowers every user to work with data securely, unlock its value, and share their insights and outcomes across the organization.
