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Huawei Professional Services

ERP decoupling solution
The urgent need for enterprise digital transformation

Build a 'stable, strong and agile' architecture to support the group's strategy and business agility

Horizontal decoupling and splitting of redundant functions, vertical layering to reduce system coupling


The urgent need for enterprise digital transformation The urgent need for enterprise digital transformation
Technical autonomy and controllable requirements

Domestic substitution solution, breaking through technological blockade

Build a service-oriented middleware to achieve smooth system switching


Technical autonomy and controllable requirements Technical autonomy and controllable requirements
The contradiction between multi format collaboration and group control

Layered architecture supports "unified control of the group+flexible innovation of subsidiaries"

Real time data platform connects all link data

Supporting consistency verification of business and finance and dynamic decision-making


The contradiction between multi format collaboration and group control The contradiction between multi format collaboration and group control
Holistic product system

Adopting a three-tier architecture of "core + commonality + differentiation": the core layer focuses on steady-state control of finance, supply chain, etc.; the commonality layer precipitates reusable services (order management, data platform); the differentiation layer supports rapid innovation across multiple business formats.


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Holistic product system Holistic product system
Layered architecture design

Core layer:

Focus on the steady-state management and control of the system to ensure the implementation of the group's strategy and data security

Common layer:

Accumulate and reuse business capabilities to support rapid process orchestration

The differentiated layer adapts to the needs of multiple business formats, enabling scenario-based innovation and iteration


Layered architecture design Layered architecture design
Decoupling strategy innovation

Horizontal decoupling:

Realize low-coupling services through standardized API

Vertical stratification:

Core layer grade change, common layer quarterly iteration, and differentiated layer monthly update


Decoupling strategy innovation Decoupling strategy innovation
Implement path optimization

Follow the V-Model methodology:

Realize system reconstruction through business analysis → service decomposition → integration and optimization

Follow the principle of service-oriented design:

Such as high cohesion/low coupling, ensuring the sustainable evolution of the architecture


Implement path optimization Implement path optimization
Data governance

Ensure that data is controllable from generation to destruction, achieve precise monitoring, efficient utilization, security protection, and compliance management, and ensure the maximization of data value and minimization of risks.

iDME-Data Platform Implementation
Data Modeling Engine (xDM Founation)

Mainly providing data model establishment, as well as configurable functionality, service orchestration, and design as you go data management functions; Assist in the construction of single/multiple business systems projects

Digital mainline engine (LinkX Foundation)

Connect business data, quickly build topic maps, conduct data governance as needed, and provide data analysis services

Overall product system

Based on the architectural design concept of "everything is a model, everything is data", and relying on Huawei's digital transformation experience, we have constructed an industrial digital model driven engine


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modelling ability

Visual zero code modeling

Generate data model related APIs driven by meta models

Support reverse modeling to quickly replicate business object models


Built in industrial data management function

Built in typical data management functions, out of the box, flexible, efficient, and configurable

Industrial data expansion capability

Model types and attributes can be dynamically expanded in real-time

Support one click publishing and deployment, real-time effectiveness


Building a fully correlated graph of massive business data

Built in graph database and supports relational databases such as Oracle, MySQL, PostgreSQL, SQL Server, etc. It also supports API data sources and CSV data import

Adapt to various data consumption scenarios

Graphic Layout Data Service

Item level data traceability, check data breakpoints

Data quality inspection


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