Master Data Classification Hierarchy Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current commercial Master Data Management (MDM) products lack customization flexibility, limiting user interface customization and data modeling capabilities, restricting business processes and use cases, and have limited data model flexibility.
Innovation Solution
The development of a universal MDM Product Abstraction and Integration Platform (PAIP) with a Service-Oriented Architecture (SOA) that enables rapid development of standardized data classification hierarchies, mapping tables, and multiple presentation views, allowing for user role-specific data customization and integration with external tools.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If commercial MDM products use bundled user interfaces and predefined data models, then product reliability is improved, but adaptability deteriorates
Solution Approach 1:
The system segments the MDM platform into distinct layers: a core MDM engine layer that maintains reliability through proven commercial products, and a customizable presentation layer that enables adaptability through configurable UI components, data models, and business logic. This segmentation allows each layer to be optimized independently - the core for stability and the presentation layer for flexibility.
Solution Approach 2:
The patent introduces intermediary components including configurable presentation services, custom data models, and integration layers that act as mediators between the fixed commercial MDM product and varying business requirements. These intermediaries translate standard MDM capabilities into customized solutions without modifying the core product, thus maintaining reliability while achieving adaptability.
2Device complexity
If MDM products provide limited bundled features, then device complexity is reduced, but ease of operation deteriorates
Solution Approach 1:
The system implements a universal configurable framework that can adapt to multiple business scenarios and user roles. The presentation layer uses configurable templates, roles, and permissions that can be customized for different user types without requiring separate systems or complex configurations. This universal approach simplifies the core system while enabling diverse operational needs.
Solution Approach 2:
The patent implements pre-configured templates, default data models, and standard presentation views that are prepared in advance. These preliminary configurations provide ready-to-use frameworks that reduce the effort required for setup and customization, making the system easier to operate while maintaining a manageable complexity level through standardized starting points.
3Manufacturing precision
If MDM data models have limited flexibility, then manufacturing precision is improved, but adaptability deteriorates
Solution Approach 1:
The system implements dynamic data models that can be configured and adapted based on specific business requirements. The patent describes configurable data models that allow organizations to define their own data structures, relationships, and validation rules while maintaining a standardized core framework. This dynamic capability enables precise data modeling tailored to each organization's needs without sacrificing the stability of the underlying MDM engine.
Data Source
AI summary
Apparatus and methods are disclosed for managing master data in a master data management (MDM) environment using classification hierarchies. According to one embodiment of the disclosed technology, a method of classifying master data includes receiving a classification hierarchy defining one or more dimensions and one or more relations between a set of hierarchy levels, generating a dimensional level by associating at least one of the dimensions with a hierarchy level, the dimension defining a set of valid values for nodes associated with the dimensional level, associating one or more nodes with the dimensional level, and generating master data classifications for an MDM environment based on the classification hierarchy and the associated nodes, where one or more objects of the master data classifications are assigned valid values based on the associated nodes.