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Program Architecture Layer

Business Logic Layer

ModuleCapability Area

Data Management

Component

Data Matching Engine

Level of Importance

Optional

Priority

Low

Social Protection Delivery Chain Stage

Manage

Requirement Description

IBR ideally should implement a a data quality validation service that capability that can be invoked by external systems for ensuring data standards, updated quarterly.

Justification

Ensures data integrity and reliability, maintaining ecosystem quality.

Use Case

Provide a data quality validation service for external systems to ensure data standards.

Data Elements Required

Beneficiary ID, Data Quality Metrics, Validation Reports

Minimum Technical Specifications

  • Validation ModuleCapability Area: Python-based script for running quarterly data validation checks.

  • Integration: REST API as an example interface for invoking validation services from external systems.

  • Reporting: CSV reports summarizing data quality issues.

Standard Technical Specifications

  • Validation ModuleCapability Area: Automated data quality checks with Apache Nifi.

  • Integration: Microservices architecture for data validation.

    • Reporting: Interactive data quality dashboards with Power BI.

Advanced Technical Specifications

  • Validation ModuleCapability Area: AI-driven data quality assessment with anomaly detection.

  • Integration: Event-driven microservices with Apache Kafka.

  • Reporting: Real-time data quality monitoring with AI-driven insights.

Security & Privacy Requirements

Quarterly automated validation checks, secure integration.

Scalability Considerations

Event-driven microservices for real-time data validation scaling.

Interoperability Requirements

Integration with external systems for data quality validation.

Compliance with International Standards

GDPR compliance for data quality and integrity.

User Interface Requirements

N/A