Cloud Master Data Management Architecture for Enterprise Data Integrity
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Solution Overview
Problem
Enterprises face challenges in managing master data across diverse systems and ensuring data integrity over time, often leading to data fragmentation and quality degradation due to the complexity of maintaining their own Master Data Management (MDM) services.
Innovation Solution
A cloud-based MDM service architecture is introduced, comprising a client architecture with synchronization services and a server architecture featuring a public API and portal, enabling clients to create, modify, and manage workflows, validate, transform, and store master data, while allowing publication and subscription to master data across systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If enterprises maintain their own MDM service, then data management control is improved, but system complexity increases
Solution Approach 1:
The patent introduces a cloud-based MDM service as an intermediary between enterprises and their data systems. This cloud service acts as a mediator that handles the complex tasks of master data management, including data synchronization, validation, and transformation, while enterprises can access and control their data through simplified interfaces. This resolves the contradiction by maintaining data management control through the cloud intermediary while reducing the complexity that enterprises would otherwise need to manage directly.
Solution Approach 2:
The cloud-based MDM service enables enterprises to self-serve their master data management needs without requiring them to build and maintain complex in-house MDM infrastructure. The service automatically performs data synchronization, validation, and transformation operations, allowing enterprises to access and manage their master data through simplified APIs and interfaces, thus maintaining control while reducing system complexity.
2Stability of the object's composition
If enterprises manage master data across diverse systems, then data standardization is improved, but data fragmentation increases
Solution Approach 1:
The cloud-based MDM service provides a universal platform that can manage master data across diverse enterprise systems through a single unified interface. The service implements universal data models, validation rules, and synchronization mechanisms that work across different data sources and systems, enabling data standardization without requiring separate management approaches for each system, thus reducing data fragmentation.
Solution Approach 2:
The patent segments the master data management functionality into distinct modular components including data synchronization services, validation services, transformation services, and storage services. This segmentation allows the system to handle different aspects of data management independently while maintaining overall data standardization, reducing the complexity of managing diverse systems by breaking down the monolithic MDM function into manageable, specialized services.
3Reliability
If MDM service ensures data integrity, then information quality is improved, but service complexity increases
Solution Approach 1:
The cloud-based MDM service performs preliminary actions by pre-defining data validation rules, transformation logic, and integrity constraints before data is entered or synchronized. The service automatically applies these pre-configured rules to ensure data integrity during synchronization operations, eliminating the need for complex post-processing validation and reducing the operational complexity of maintaining data quality across diverse systems.
Data Source
AI summary
A cloud based service architecture is used in providing Master Data Management (MDM) services to clients. The MDM cloud based architecture comprises a client architecture and a server architecture. The client architecture includes synchronization services that are used to interact with the MDM cloud based service. The server architecture comprises a public Application Programming Interface (API) and a portal for accessing different MDM functionality. For example, a client may access the server architecture to create/modify MDM workflows that are hosted by the cloud based service. The cloud based service architecture also provides access to different MDM services including MDM workflows, validation, transformation, and storage relating to master data. The cloud based architecture may be used to publish master data and/or subscribe to master data.