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Industry Solutions
Across industries undergoing digital transformation, comprehensive tracking of data models has become essential to data assetization. Effective model management is now critical to achieving data standardization and maximizing data value.
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Data AssetizationGroup-level centralized model governance has become a necessary approach to maximizing the value of data as an asset.
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Data StandardizationEnforcing standards throughout the modeling process improves the standardization of data warehouse structures and reduces governance costs.
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Localization RequirementsSupporting domestic database technologies has become a critical criterion in technical decision-making.
The ORIGIEN Data Modeling Platform features a dual-framework architecture encompassing both technical and business views. It supports concept, logical, and physical modeling—individually or in combination. The platform offers flexible version control and change tracking to manage model evolution.
Capabilities such as standard-driven modeling, dictionary-based modeling, model conversion and reuse, and rapid entity-relationship building are essential for modeling efficiency. The platform supports script previews, output, and direct database deployment, enabling “what-you-design-is-what-you-get” modeling.
This product empowers organizations to implement centralized model management across the group, enforce modeling standards, support domestic databases, and streamline end-to-end control of modeling and development—maximizing model governance and business value.
Supports multi-entity model design and management on a unified platform, reducing tooling and operational overhead.
Offers multiple modeling paths—starting from scratch, based on existing metadata, or standard-driven—suitable for various business scenarios.
Enables script generation for various domestic databases, offering flexibility in data storage architecture decisions.
The ORIGIEN Data Modeling Platform includes core features such as model framework management, model design, script output, and model application.
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Model System Management
Containing model system management, theme classification management, etc., it can realize the model system management mode of business and technology in two dimensions, and satisfy the needs of model viewing from different perspectives of business personnel and technical personnel.
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Model Design
Containing model design, polymorphic modelling, etc., it can realize three types of model design, support different modelling modes such as modelling from ‘0’, Excel template import, metadata import, etc., to meet the needs of customers for different model design modes.
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Script output
Including script generation, version management, etc., it can achieve real-time selection of different types of library script generation and one-key library capacity, while providing historical state data retention in the process of model design to meet the customer's localization requirements and the need to retain the historical traces of the model.
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Model Application
Including ER diagram browsing, model query, model analysis, etc., it can achieve the value output of model results and meet the query browsing and analysis needs of model resources.
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Demand-Driven Change Management
Model design takes requirements as the source and tracks the process of model changes and releases to achieve the model management concept of on-demand modelling and on-demand development.
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End-to-End Model Lifecycle
Model design includes conceptual model, logical model, physical model and other different ways to transition from business to technology, from macro to micro excess, to achieve seamless integration of business in different design phases of the model, and synchronous sharing of data. Achieve non-differentiated cognition of the same thing from different perspectives of business personnel, model management personnel, developers, and so on.
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Hierarchical Model Structure
The model structure describes the entities corresponding to the real thing, the attributes of the entities and the relationship between the entities from several perspectives, forming a hierarchical model structure, which is more comprehensive and complete in the expression of the thing and can help users form a more accurate understanding of the data.
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Diverse Data Sharing Options
The platform provides the query function of the released version of the model, and also provides the data sharing interface for other application systems, so that other systems can use the model data directly through sharing, reducing the repetitive work of data construction. The platform also provides model data export script function, users can choose to generate script files, or can choose to connect to the data directly to execute the script to generate the physical structure of the database.
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Integrated Modeling & Development
ORIGEN Data Modelling Platform and ORIGEN Data Development Platform achieve business coherence, taking the development requirements of the development platform as the guide line, and following through the whole process of model design, data development, testing and on-line release.
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Unified Technology Foundation
Using a unified development architecture for functional development, it is a sub-product of ORIGEN Data Asset Platform, seamlessly connecting with the middle platform in terms of technology, business, data, and user interface to maintain consistency with ORIGEN Data Asset Platform. ORIGEN Data Modelling Platform is interconnected with other sub-products to form a complete solution of ORIGEN Data Asset Platform.
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ORIGIEN Data Modeling Platform
The ORIGIEN Data Modeling Platform provides standardized modeling capabilities, supports various domestic database systems, offers flexible version control, and integrates modeling and development management. It also supports group-wide, enterprise-level model governance.
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ORIGIEN Data Governance Platform
The ORIGIEN Data Governance Platform is a tool developed on the ORIGIEN Data Asset Platform, built using years of data governance consulting results and combined with enterprise IT planning. The platform primarily includes metadata management, data quality management, and data standards management.
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Data Migration Service Platform
A one-stop service platform for data migration projects, offering online DDL conversion, script transformation, data migration and verification
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