Definition: The Data Quality and Integrity Management function ensures the accuracy, consistency, and reliability of beneficiary data through validation, deduplication, and master data management. It implements the technical measures and processes needed to maintain high-quality data that can be trusted for decision-making and service delivery.
Functions:
Prevents duplicate beneficiary records through sophisticated matching
Validates data against defined quality standards and business rules
Manages data conflicts and harmonizes information from multiple sources
Implements data governance policies and ensures compliance
Maintains master data for core entities across the social protection ecosystem
Where Used:
Data Management Teams for quality control and governance
System Administrators for master data maintenance
Program Administrators for data validation and verification
Technical Teams for deduplication and data cleaning
Compliance Officers for data governance enforcement
Why Required:
Ensures trustworthy and reliable data for decision-making
Prevents fraud and errors through duplicate detection
Maintains data consistency across multiple programs and systems
Enhances service delivery through accurate beneficiary information
Supports compliance with data quality standards and regulations
Implemented Through:
[IBR-016] Duplicate Prevention System (Core)
[IBR-020] Unified Beneficiary Data Model (Core)
[IBR-015] Data Quality Standards (Optional)
[IBR-018] Identity Data Manager (Optional)
[IBR-028] Data Governance Framework (Optional)