Advanced Deduplication Algorithm - SR-053

Owned by Jeries Shahin, created
Nov 12, 2024
2 min read

Program Architecture Layer

Business Logic Layer

Module

Data Management

Component

Data Matching Engine

Level of Importance

Optional

Priority

Medium

Social Protection Delivery Chain Stage

Intake and Registration, Assessment of Needs

Requirement Description

The Social Registry ideally should implement an Advanced Deduplication Module that incorporates fuzzy matching algorithms and biometric information processing capabilities to identify and resolve potential duplicate entries in the registry.

Justification

Enhances the accuracy of beneficiary identification, reduces errors in benefit allocation, and improves overall data quality in the Social Registry, especially in contexts with incomplete or inconsistent identification systems.

Use Case

Enhancing the accuracy of beneficiary identification and reducing errors in benefit allocation through advanced deduplication techniques.

Data Elements Required

Registrant ID, Biometric Data, Matching Parameters, Duplicate Resolution Records, Verification Status Data

Minimum Technical Specifications

  • Data Matching: Basic fuzzy matching algorithms for text-based comparison

  • Integration: REST API for deduplication requests

  • Reporting: CSV exports of potential matches

Standard Technical Specifications

  • Data Matching: Advanced fuzzy matching with configurable parameters

  • Biometric Processing: Basic fingerprint template matching

  • Integration: GraphQL API with real-time matching capabilities

  • Reporting: Interactive dashboards for duplicate resolution

Advanced Technical Specifications

  • Data Matching: AI-powered fuzzy matching with machine learning

  • Biometric Processing: Multi-modal biometric matching (fingerprint, facial)

  • Integration: Federated GraphQL for cross-system deduplication

  • Reporting: Real-time analytics with predictive duplicate detection

Security & Privacy Requirements

  • Encrypted storage of biometric data

  • Role-based access control for deduplication functions

  • Secure API access for matching operations

  • Audit logging of all deduplication activities

Scalability Considerations

  • Distributed processing for large-scale matching operations

  • Parallel processing for biometric comparisons

  • Caching mechanisms for frequently accessed matching patterns

Interoperability Requirements

  • Integration with national ID systems

  • Standard APIs for external matching services

  • Support for common biometric data formats

Compliance with International Standards

  • Compliance with GDPR for biometric data handling

  • ISO/IEC 19794 for biometric data formats

  • ISO/IEC 24745 for biometric information protection

User Interface Requirements

  • Dashboard for reviewing potential matches

  • Interface for manual resolution of edge cases

  • Visualization tools for match confidence scores

 

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