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
GienTech’s data testing methodology covers hierarchical mapping tests, constraint relationship tests, and cross-verification tests. It applies to a wide range of scenarios, including data flow testing on big data platforms, business system data migration, data standard compliance, regulatory reporting systems, and data application systems.
User management, role management, access control, project management.
Data model management, metadata management, indicator/constraint management, data source management.
Hierarchical mapping analysis, constraint relationship analysis, data quality analysis, data standard analysis.
Test case management, execution management, scenario management, data management.
Dashboard, execution results statistics, execution status monitoring.
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01Comprehensive Financial Data Products
A complete suite of financial data products seamlessly integrates projects, phases, tasks, cases, scripts, and execution into unified data testing management.
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02Heterogeneous Data Comparison
Supports comparison across heterogeneous databases such as Oracle, MySQL, DB2, and Hive, with customizable extensions.
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03High-Volume, High-Precision Comparison
Capable of precise comparison on datasets exceeding tens of millions of records. A single server can process tens of millions of records per hour. Flexible case models, templates, and scenarios reduce the burden of case authoring.
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04Avoid Redundant Execution
Supports customized execution tasks, strategies, and monitoring processes to eliminate repetitive work.
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05Extensive Interface Design
A rich set of tools and standardized interfaces provide strong support for project implementation.
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06Expert Team Support
A dedicated R&D team ensures rapid response and adaptive enhancements for project delivery.
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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.
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Big Data Platform/Data Lake
Enables integrated collection, management and consumption of middle platform source data, automating raw data ingestion and governance
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Data Asset Management Solution
Comprehensive consulting services and platform tools covering asset inventory, consumption, governance, evaluation and operations to maximize enterprise data value.
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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.
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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.
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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.
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Real-time Data Warehouse Development Platform
Enables rapid implementation of unified stream-batch processing capabilities to deliver highly reliable, low-latency data services
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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.
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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.
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