Data Verification Module - SR-009

Program Architecture Layer	Business Logic Layer
Module	Data Management
Component	Data Matching Engine
Level of Importance	Core
Priority	High
Social Protection Delivery Chain Stage	Intake and Registration, Assessment of Needs and Conditions

Requirement Description	SR needs to implement or integrate with a Data Verification Module to ensure data accuracy through automated and manual verification processes
Justification	Critical for ensuring data accuracy and reliability.
Use Case	Implement a Data Verification Module to ensure data accuracy through automated and manual verification processes.
Data Elements Required	Data Verification Metrics, Automated Validation Inputs, Manual Verification Logs
Minimum Technical Specifications	Verification: Rule-based data validation using Python. Integration: REST API for invoking verification checks. Reporting: CSV-based verification reports.
Standard Technical Specifications	Verification: Automated ML-based data verification. Integration: Event-driven verification workflow. Reporting: Interactive dashboards with BI tools.
Advanced Technical Specifications	Verification: AI-driven verification using natural language processing (NLP). Integration: Real-time microservices with Apache Pulsar. Reporting: Predictive analytics and anomaly alerts with immersive dashboards.
Security & Privacy Requirements	Secure verification module, role-based manual verification access.
Scalability Considerations	ML-based data verification for scalable accuracy checks.
Interoperability Requirements	Integration with external systems for automated data verification.
Compliance with International Standards	Compliance with GDPR for data verification processes.
User Interface Requirements	UI for manual verification and reviewing automated validation reports.

openIMIS

Data Verification Module - SR-009

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