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 enterprises grow and place increasing importance on data, they often choose to build a unified data asset platform for management and service. However, the diversity of data, business systems, and platforms makes data integration, management, and consumption difficult, leading to various technical, product, and application challenges during the platform construction process.
The ORIGIEN Data Asset Platform is designed to accumulate data assets and create data value. It leverages big data, AI, and data security technologies to build an integrated data governance platform, data middle platform, and AI platform. Combining industry knowledge and data governance, the platform enables data-driven business operations and lean management, transforming business data into data assets and ultimately realizing asset value.
1. Data Governance Platform
Based on data standards, the platform enables data model planning and design through the data modeling platform. It uses unified metadata and integrates data quality management for data retrieval and full-lifecycle data quality management. Data privacy protection is achieved through the data security platform.
2. Data Integration Platform
Supports offline, real-time, and full-database migration capabilities to extract, consolidate, load, transform, transfer, and share data from heterogeneous, multi-source platforms, connecting polymorphic data and integrating business and data productivity.
3. Data Development Platform
Based on the DataOps concept, the platform offers one-stop data development services, including data query, real-time computation, offline computation, task configuration, and data testing. It supports a unified architecture for both stream and batch processing, as well as lake-warehouse integration, providing agile data development capabilities.
4. Data Service Platform
Provides capabilities for operational dashboards, data services, data applications, interface development, and monitoring, managing the entire lifecycle of service interfaces from orchestration, testing, publishing, application, usage, and deprecation, ensuring efficient and secure data usage for various access needs.
5. Data Asset Operations Platform
Provides asset views, asset management, asset operations, and applications, managing the full life cycle of data assets from inventory to valuation, operations, and service. It supports the creation of a data asset catalog and the release of asset value.
6. Data Tools Products
Offers tools connecting data and business, including external data management engines, indicator engines, decision engines, search engines, recommendation engines, and visualization engines, empowering business with data-driven capabilities.
7. Data Lake Management Products
Supports data integration in multiple formats, offering unified metadata management, lake file management, data storage, and analytics, helping users reduce computation and storage costs while efficiently exploring the value of business data.
8. Data Operations and Maintenance Platform
Provides product deployment management, system monitoring, task scheduling, alert processing, and log auditing capabilities to reduce maintenance costs, increase operational efficiency, and ensure platform stability and reliability.
Data Development | Provides comprehensive data services covering the entire data lifecycle—acquisition, storage, computation, management, and usage. Driven by data needs, the platform offers a one-stop solution for data integration, development, operations, services, and display.
Data Services | Provides comprehensive data services and sharing capabilities. It helps users manage and publish internal and external data API services via a unified data service gateway and allows visualization of data tables into APIs, while managing and publishing existing APIs.
Data Governance | Offers rich metadata collection adapters, diverse data collection channels, and customizable data standards templates. It integrates metadata, data standards, data quality, data security, and data models into a visual data governance platform through closed-loop data quality management and graphical modeling.
Data Asset Operations | Streamlines data asset management by creating a data asset catalog, assessing the value of assets, supporting asset services, and further clarifying data assets within the enterprise. This facilitates secure data asset sharing, quality improvement, and monetization.
Digital Applications | Integrates large-scale non-financial and financial data to build credit risk or marketing models. By combining third-party data such as credit reports and business registrations, the platform creates scientifically and rationally structured models. Through microservices architecture, it enables large-scale data acquisition and real-time processing, enhancing data integration capabilities.
Reduce data construction costs and improve data governance efficiency.
Unlock the commercial value of data and empower business operation and decision-making.
Transform enterprise business processes and upgrade the organizational structure.
Control the data lifecycle to meet industry compliance requirements.
Establish a unified data system and enhance data asset governance.
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Incorporate years of consulting and implementation experience into the product
Drawing on experience from nearly a thousand large-scale data platform projects and hundreds of data governance consulting projects, and referencing advanced DataOps data management concepts, combined with mature implementation and modeling methodologies, the solution can fully support the implementation and operation of data projects, improving both efficiency and quality. It comes with a built-in enterprise-level data model that helps banks quickly establish data lakes, data middle platforms, data warehouses, and big data platforms.
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Loosely coupledand component-based
The product consists of multiple component modules, which can not only meet the end-to-end, all-in-one data management needs of financial institutions, but can also be independently installed and deployed. Featuring a loosely coupled, component-based design, it meets the needs of financial institutions of different scales.
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Openness and multi-platform adaptability.
Each component in the data asset platform is supported by GienTech’s proprietary foundational products, while also being compatible with the major similar products available in the market—such as scheduling, governance, and development tools—thereby meeting customers’ construction needs at different stages.
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Fully meets cloud-native requirements
Based on the ORIGIEN Data Foundation Development Platform, it fully meets cloud-native architecture requirements, enabling seamless integration and connectivity with multiple cloud environments. It supports rapid deployment and implementation, facilitates agile data development, and provides integrated operation and maintenance service capabilities.
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ORIGIEN Core Runtime Support Platform
Built on the ORIGIEN Core Runtime Support Platform, we empower industry clients to establish a stable, reliable, and secure operating environment with strong foundational assurance capabilities.
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ORIGIEN Business Modeling Platform
The ORIGIEN Business Modeling Platform incorporates extensive modeling best practices and allows for flexible configurations tailored to client needs. It transforms abstract architectures and models into visualized, tangible formats, enabling the accumulation, sharing, and reuse of enterprise architecture assets. The platform serves as a powerful enabler for improving both efficiency and quality.
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