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 expand, business data accumulates rapidly. Over time, as business systems operate, the volume of stored data grows, increasing database load and degrading system performance. At the same time, traditional data storage formats often fail to meet the diverse analytical requirements of different business units. To improve database performance, support data analysis, and enhance executive decision-making, enterprises need to establish a dedicated data warehouse.
GienTech’s Data Warehouse End-to-End Solution draws on years of consulting and implementation experience to offer a scientific, complete, and iterative design and development framework, supported by automated development tools and implementation standards. It provides data services across banking, insurance, securities, funds, government, manufacturing, and other sectors.
Based on a hybrid architecture that combines traditional data platform expertise with big data technologies, the solution enables enterprises to build a unified data storage and management center that supports data acquisition and integration, analysis, application, and service delivery. It empowers intelligent data management, enables business analytics and decision support, and accelerates digital transformation.
Depending on data modeling and integration methods, the solution encompasses four key layers: Source Data Area, Integrated Processing Area, Consolidated Data Area, and Application Data Area.
Based on the traditional ODS design concept, this layer keeps the data structure largely consistent with the source systems. Minimal processing or cleansing is performed, and permanent historical data is preserved using a zipper technique.
Designed according to normalization principles, business data is categorized by subject and standardized to achieve consistency across systems. Historical data is also preserved using a zipper storage method.
Processes and integrates data according to business interface requirements, with support for visual, user-friendly creation of data interfaces.
Provides processed result datasets to various analytical applications. Data indicators are tailored to application needs, improving display efficiency and enhancing the user experience.
-
01Complete Data Warehouse Solution
Provides a full-scope plan for building a data warehouse system, covering long-term, mid-term, and short-term implementation goals.
-
02Cross-Platform Capability
A mature, cross-platform technical architecture that allows customers the flexibility to choose their preferred platform.
-
03Hybrid Architecture
Ensures architectural foresight and adaptability by adopting a hybrid framework.
-
04Best Practices Consolidated
Focuses on robust data warehouse modeling. Through years of market-proven practices, GienTech has developed a complete methodology applied successfully across multiple industries, including banking, insurance, securities, funds, government, and manufacturing. The quasi-3NF (Third Normal Form) design ensures isolation from source systems, enabling fast business support while balancing model stability and scalability.
-
ORIGIEN Data Asset Platform
The ORIGIEN Data Asset Platform integrates data governance, data middle platform, and data tools into a single data intelligence foundation to enhance data governance and unlock the value of data assets.
Learn More -
Big Data Platform/Data Lake
Enables integrated collection, management and consumption of middle platform source data, automating raw data ingestion and governance
Learn More -
Data Asset Management Solution
Comprehensive consulting services and platform tools covering asset inventory, consumption, governance, evaluation and operations to maximize enterprise data value.
Learn More -
ORIGIEN Data Service Platform
The ORIGIEN Data Service Platform provides a unified data service exit, realizing unified market management of data, effectively lowering the barriers to data opening, and ensuring the security of data opening.
Learn More -
ORIGIEN Data Development Platform
The ORIGIEN Data Development Platform is a one-stop visual big data development and processing platform, integrating development, debugging, deployment, and operations.
Learn More -
Indicator Management Platform
Driven by the principle of "business-led, business-serving," the platform builds a standardized indicator data system designed for seamless collaboration and reuse across business and technology teams.
Learn More -
Real-time Data Warehouse Development Platform
Enables rapid implementation of unified stream-batch processing capabilities to deliver highly reliable, low-latency data services
Learn More -
External Data Management Platform
Delivers secure, efficient and unified external data services to power risk control, customer acquisition and marketing scenarios, enhancing business synergy while accelerating digital transformation.
Learn More -
Data Middle Platform
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.
Learn More
