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
With the integration of internet finance ecosystems (e-banking, mobile banking, etc.), banks demand data warehouse development platforms to be highly reliable, high-performance, and customizable.
However, they face the following challenges:
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Limited Data CapabilitiesBanking requires data to ensure accuracy and credibility while achieving low latency from data collection to application—especially in precision marketing and intelligent risk control.
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Shortage of Skilled ProfessionalsThere is a shortage of talent specialized in real-time computing technologies in the market, making it difficult for individual banking institutions to build strong, dedicated expert teams.
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High R&D ComplexityThe design and selection process demands advanced technical research, extensive underlying development, and rapid deployment. It involves complex component clusters, increasing post-launch maintenance difficulties.
GienTech's Real-Time Data Warehouse Development Platform (SFDP, Speed Flow Data Platform) integrates and streamlines real-time data stream computing and data service functionalities, enabling the rapid development of data streaming and data service capabilities.
The platform offers supplementary data functions such as data management, data analysis, and data rectification, effectively addressing the timeliness challenges of data centralization, modeling, and service delivery.
With lightweight DevOps integration, SFDP builds a high-efficiency, high-performance data platform that unifies data storage, computing, management, maintenance, and application.
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Ensures stable and reliable platform operation while offering a user-friendly and intuitive UI for easy understanding and use.
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Built-in development toolkits enable graphical function development. Through functional decoupling, the platform supports minimal customized development and is adaptable to local environments.
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Provides multi-level alert configuration combined with refined monitoring and analysis, delivering an automated and intelligent operations and maintenance experience.
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Operational Reliability
High availability, stability, efficient fault recovery, and scalability.
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Ease of Use
Graphical development and management interfaces.
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Universal Adaptability
Interfaces for mainstream data storage media; configurable toolkits for real-time computation workflows and algorithms.
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Tool-Based Development
Encapsulates common processes and algorithms for real-time data computing into toolkits, providing configurable interfaces to enable tool-based, configurable development.
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Automated Alerts
Customizable alert levels and triggers for timely notifications.
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Granular Monitoring
Tracks each computation step with detailed analysis.
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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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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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