ORIGIEN Next-Gen Digital Infrastructure
Distributed Core Banking System
Distributed Financial PaaS
Data Middle Platform
Digital Marketing
Risk & Compliance
Payment & Settlement
Channel Solutions
Credit Management
Transaction Banking
Open Banking
Digital Operation
QA Platform
AI Applications
Industry Solutions
As digital transformation accelerates across China, the market for data middle platform construction continues to expand. However, many enterprises are still facing significant challenges:
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Lack of Holistic Planning
Without a clear strategic roadmap, enterprises often experience high investment with low return and scattered resources.
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Overemphasis on Technology
A strong focus on technology often comes at the expense of user experience and actual business needs.
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Insufficient Institutional Support
The absence of effective business anchors and supporting mechanisms leads to fragmented efforts and suboptimal outcomes.
GienTech’s Data Middle Platform Solution empowers clients across every stage of data capability development—through the three pillars of consulting, product, and services. We offer an integrated solution for data development, operations, and governance, helping organizations build and manage their data infrastructure efficiently.
Our solution features a product system built on a 1-core + 3-development + 5-operations + N-data-services architecture, precisely addressing the needs of five key user groups: data consumers, quality managers, asset operators, platform maintainers, and data builders.
The GienTech Data Middle Platform is built on a distributed microservices architecture and consists of six core modules:
· Data Development and Management Platform
· Data Asset Management Platform
· Data Service Platform
· Data Integration Platform
· Data Exchange Platform
· Data Operations and Maintenance Platform
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Data Development and Management Platform | Covers project planning and data development, enabling integrated development management to ensure data consistency and enhance development efficiency.Data Development and Management Platform | Covers project planning and data development, enabling integrated development management to ensure data consistency and enhance development efficiency.
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Data Asset Management Platform | Focuses on data asset operations and data governance. By implementing a closed-loop governance framework, it ensures data quality while activating the value of data assets through operational insights.Data Asset Management Platform | Focuses on data asset operations and data governance. By implementing a closed-loop governance framework, it ensures data quality while activating the value of data assets through operational insights.
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Data Service Platform | Supports the full data asset service journey—including service discovery, registration, subscription, and feedback—continuously enhancing the user experience and maximizing the value of data assets.Data Service Platform | Supports the full data asset service journey—including service discovery, registration, subscription, and feedback—continuously enhancing the user experience and maximizing the value of data assets.
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Data Integration Platform | Handles data model consolidation, metric computation management, tag calculation management, and API management, driving standardized and efficient data usage.Data Integration Platform | Handles data model consolidation, metric computation management, tag calculation management, and API management, driving standardized and efficient data usage.
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Data Exchange Platform | Facilitates both offline and real-time data collection and exchange, supporting diverse data integration scenarios across systems.Data Exchange Platform | Facilitates both offline and real-time data collection and exchange, supporting diverse data integration scenarios across systems.
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Scheduling and Operations Platform | Manages task scheduling and resource monitoring, ensuring stable and efficient platform operations.Scheduling and Operations Platform | Manages task scheduling and resource monitoring, ensuring stable and efficient platform operations.
1-Rapid Deployment:Quickly builds a digital operations platform from the ground up based on a data middle platform architecture.
2-Future-Proof Technology:Designed to adapt to emerging technologies and manage evolving data and application landscapes, ensuring optimal time-to-market across diverse business scenarios.
3-Seamless Integration:Enables progressive implementation by integrating smoothly with existing big data platforms (such as Hadoop, Spark, and Kafka) and core business systems.
4-Agile Iteration:Supports fast implementation of data middle platform strategies, ensuring high iteration efficiency and optimized performance in programming, application development, and system operations.
5-Application-Oriented:Empowers every user to work with data securely, realize its value, and share outcomes—maximizing data usability across the organization.
As a core member of China’s Xinchuang initiative, GienTech’s Big Data team is one of the largest and most capable consulting teams in the domestic data domain. With over 20 years of deep experience in the financial industry, we provide end-to-end services that span consulting, product development, and implementation.
Our team includes experts with backgrounds in world-renowned consulting firms and leading technology enterprises. The Data Middle Platform solution we deliver is a unified framework for data development, data management, data operations, and data services. It is highly practical, user-friendly, and tailored to meet the specific needs of financial institutions.
