Master Data Management - SR-010

Program Architecture Layer

Business Logic Layer

Module

Data Management

Component

Data Matching Engine

Level of Importance

Core

Priority

Medium

Social Protection Delivery Chain Stage

Manage

Requirement Description

Implement master data management practices for core entities (individuals, households) with processes for resolving conflicts between different data sources

Justification

Ensures data consistency and quality across multiple sources

Use Case

Implement master data management practices for core entities with processes for resolving conflicts between different data sources.

Data Elements Required

Core Entity Data, Conflict Resolution Records, Data Source Logs

Minimum Technical Specifications

  • Data Management: Relational database for core entity data.

  • Conflict Resolution: Manual resolution of conflicts.

  • Logging: Audit trail for changes.

Standard Technical Specifications

  • Data Management: Document database for flexible data storage.

  • Conflict Resolution: Rule-based resolution with ML recommendations.

  • Logging: Centralized logging.

Advanced Technical Specifications

  • Data Management: Graph-based data relationships.

  • Conflict Resolution: AI-driven resolution with deep learning.

  • Logging: Blockchain-based immutable audit trails for changes and conflict resolutions.

Security & Privacy Requirements

Manual and automated conflict resolution security, encrypted core entity data.

Scalability Considerations

Graph-based data management for scalable conflict resolution.

Interoperability Requirements

Integration with multiple data sources for resolving data conflicts.

Compliance with International Standards

Compliance with GDPR for data consistency and conflict management.

User Interface Requirements

Conflict resolution UI for administrators with AI-based recommendations.

 

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