Data Quality Monitoring - SR-050

Program Architecture Layer	User Interface Layer
Module	User Interface Module
Component	System Management Console
Level of Importance	Optional
Priority	Low
Social Protection Delivery Chain Stage	Manage

Requirement Description	SR ideally should provide APIs for external data quality management and system monitoring tools to access data quality metrics, manage deduplication efforts, and oversee system-wide parameters
Justification	Ensures data integrity and system performance by enabling integration with specialized data quality and system management tools
Use Case	Ensuring data integrity and system performance by enabling integration with specialized data quality and system management tools.
Data Elements Required
Minimum Technical Specifications	Data Monitoring: Basic SQL queries for deduplication. Integration: REST API for accessing data quality metrics. Reporting: CSV-based reports on quality.
Standard Technical Specifications	Data Monitoring: Centralized data quality dashboard. Integration: Event-driven API for continuous quality monitoring. Reporting: BI integration for detailed insights.
Advanced Technical Specifications	Data Monitoring: AI-driven data quality analysis with predictive insights. Integration: Federated data access with blockchain for tamper-proof quality checks. Reporting: Immersive real-time dashboards with AR.
Security & Privacy Requirements	Encrypted data quality metrics, secure deduplication management.
Scalability Considerations	AI-driven data quality analysis for scalability.
Interoperability Requirements	Integration with external data quality tools for continuous monitoring.
Compliance with International Standards	Compliance with GDPR for data quality management.
User Interface Requirements	Data quality monitoring interface with immersive dashboards and real-time anomaly detection.

openIMIS

Data Quality Monitoring - SR-050

Did you encounter a problem or do you have a suggestion?

Please contact our Service Desk