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
When enterprise users explore the value of big data to help optimize business processes, build agile data services, assist management decisions, and enhance data asset value, they often encounter a series of pain points such as inconsistent data, varying data standards, and poor data quality. These cause difficulties in data management, slow data acquisition, long data processes, and delayed time-to-market, impacting data consumption.
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Lack of Unified Data StandardsThere is no unified standard for interface specifications, missing key fields, difficulty in data cleaning, and an inability to support the value exploration of algorithm model teams. Data silos and low circulation efficiency: data from various fields is disconnected, making it difficult to achieve data sharing.
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Lack of a Comprehensive Data Quality Management SystemQuality issues repeatedly arise without establishing an effective data feedback and resolution mechanism. Poor data quality leads to unreliable data, affecting management decisions.
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Lack of a Comprehensive Metadata Management SystemChanges in business system schema are not detected in time, causing downstream data warehouse jobs to fail. When issues are discovered, tracing the source is difficult, diagnosis costs are high, and resolution efficiency is low.
The ORIGIEN Data Asset Management Platform system aims at accumulating data assets and creating data value. It leverages big data, AI, and data security technologies to build a unified data intelligence foundation that integrates the data governance platform, data middle platform, and AI platform.
By combining industry expertise and data governance, it enables data-driven business operations and lean management, completing the transformation from business digitalization to data assetization and ultimately asset value realization. Based on data governance consulting results and combined with enterprise IT planning, the platform is agilely developed on the ORIGIEN Data Asset Platform to rapidly build a data governance platform for enterprises, including metadata management, data quality management, and data standards management. It ensures the quick implementation and maximization of enterprise data governance results.
The product development standards are based on the "Data Governance Guidelines for Banking Financial Institutions" issued by the China Banking and Insurance Regulatory Commission in 2018, ensuring compliance with the guidelines and regulations of the CBIRC and the CSRC.
The product meets adaptation requirements, with full localization of chips, servers, middleware, and databases.
By integrating metadata, data standards, and data quality systems, the platform provides users with a unified portal interface for the ORIGIEN Data Governance Platform.
The platform's main features include data standards management, data quality management, and metadata management.
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Data Standards Management
Automates the implementation of data governance consulting results, promoting the establishment and implementation of standards in both business and technical fields through closed-loop management from standard formulation, review, publication, implementation, and operation. This improves overall business operation and management efficiency.
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Data Quality Management
Uses relevant technologies to measure and improve data quality, helping enterprises obtain clean and well-structured data, supporting the development of data-related products and services, and realizing data value.
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ORIGIEN Metadata Management Platform
Integrates with the ORIGIEN Metadata Management Platform to make data interpretable and understandable. It builds an enterprise-level metadata governance system and applies it throughout the entire lifecycle of data generation, processing, and consumption, supporting data management work and digital operations. Externally, it meets regulatory data quality management requirements; internally, it continuously empowers the business and enhances data asset value.
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Modular and Componentized
Supports rapid iteration, componentization, and plug-and-play capabilities, with a wizard-style one-click setup for fast deployment. The product achieves a balance between personalization and productization through functional components, without redundancy or duplication. It integrates efficiently with various data management systems and tools.
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Automation and Intelligence
The product features design and position around business scenarios, enhancing user experience while utilizing AI algorithms, machine learning, and industry knowledge bases to achieve automation and intelligence. This includes automatic standard application, intelligent standard checking, and metadata attribute fill-rate checks.
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Full-Text Search
Provides an all-in-one full-text search solution, supporting Chinese and English word segmentation, hot words, and search history recommendations.
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End-to-End Data Governance and Control
Metadata management spans the entire lifecycle and integrates with standard and quality management. It offers comprehensive management capabilities for global metadata, from metadata model definition, collection, registration, application, to data operation. The platform includes rich collection adapters for building data lineage, impact analysis, and data maps using graph databases. Data standards management offers complete standard management, processes, and methods. Standards, quality, and metadata are interconnected, with automatic rule generation based on standards. Data quality management is simplified through guided, visual workflows that integrate quality evaluation, checks, remediation, and reporting.
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ORIGIEN Next-Gen Digital Infrastructure
A next-generation digital infrastructure, powered by a fully independent and secure computing industry chain. It adopts a modern technology architecture to serve the financial sector and other key industries.
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Cloud-Native Distributed Core Banking System
Leveraging the latest technological advancements such as distributed systems, microservices, and intelligent capabilities, this innovatively designed cloud-native distributed core banking system offers a cutting-edge solution.
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Business Modeling-Driven Enterprise Architecture Transformation Solution
A new enterprise framework that is "enterprise-grade, agile, and lean."
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SDLC AI Agents
Accelerate enterprise software modernization and digital transformation with AI agents that unify business and IT for faster, safer, and more cost-effective delivery.
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ORIGIEN Data Asset Platform
A comprehensive data asset management solution that covers the entire data lifecycle — from collection, storage, and management to computation and application — delivered through a one-stop platform.
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