Data Warehouse Master Data Management Integration
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Solution Overview
Problem
Current data warehousing systems lack integrated management of master data, leading to inconsistencies and inefficiencies in data accessibility and compliance across various operational groups and applications.
Innovation Solution
A data warehouse system that receives and manages transaction data, creates and updates master data, and communicates it across applications, using a master data management process to enforce compliance rules and ensure standardized data accessibility based on business plans and organizational policies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If master data is managed separately from the data warehouse using traditional ETL processes, then data transformation and loading can be performed systematically, but data inconsistencies and accessibility issues arise across different operational groups
Solution Approach 1:
The patent merges master data management functionality directly into the data warehouse architecture, eliminating the need for separate ETL processes and external MDM systems. The data warehouse now natively creates, manages, and maintains master data, while operational systems consume master data directly from the warehouse. This integration resolves data consistency issues by providing a single source of truth while reducing architectural complexity by removing redundant data movement processes.
2Ease of operation
If master data is made accessible to all organizational groups, then data-driven decision-making is enhanced, but data security and compliance control become more difficult
Solution Approach 1:
The patent implements dynamic access control where master data visibility and accessibility are adjusted based on the consumer's role, security credentials, and organizational context. The system automatically applies compliance rules and data governance policies to determine what master data each user or group can access. This dynamic approach enables broad data accessibility for decision-making while maintaining security and compliance control through automated, context-aware permission management.
3Adaptability or versatility
If multiple application systems maintain their own master data, then each system can operate independently, but data redundancy and inconsistency increase across the organization
Solution Approach 1:
The patent extracts master data management functionality from individual application systems and consolidates it into the data warehouse. Instead of each system maintaining its own master data copies, operational systems now consume master data directly from the warehouse. This extraction eliminates data redundancy and inconsistency across the organization while preserving system independence, as each application can continue to operate autonomously by referencing the centralized master data source in the warehouse.
Data Source
AI summary
A data warehouse incorporates processing for creating, managing, and otherwise maintaining master data. The data warehouse may communicate with a master data manager to obtain services for handling master data. A surrogate master data identifier may be defined by the data warehouse to reference the master data, thereby decoupling any modifications of the master data identifier that may be made by the master data manager. The data warehouse may export the master data to an application system, and conversely import master data from an application system.