Beneficiary Lifecycle Tracking - IBR-001

IBR ideally should implement a Beneficiary Lifecycle Tracker to monitor and analyze beneficiary progression through various social protection programs over time

Enables long-term analysis of program effectiveness and beneficiary outcomes

Track a beneficiary's progression through multiple social protection programs over time, enabling analysis of long-term outcomes.

Beneficiary ID, Program Participation Data, Progression Metrics

• Database: Relational Database (e.g., PostgreSQL) with a dedicated table for beneficiary lifecycle events.

• Tracking Module: A simple CRUD module to store and update lifecycle events.

• Analytics: Basic data export capability (CSV format) to enable manual analysis.

• UI: Simple web-based interface to visualize lifecycle progression.

• Database: Relational Database with advanced indexing and partitioning.

• Tracking Module: Full-featured lifecycle management with event-driven architecture.

• Analytics: Integration with an analytics platform like Power BI or Tableau.

• UI: Rich visualization interface using React or Angular.

• Database: Distributed database with sharding for scalability (e.g., Cassandra).

• Tracking Module: Event sourcing and CQRS for capturing state changes.

• Analytics: Real-time analytics using Apache Flink.

• UI: Interactive visualization with VR/AR capabilities for enhanced data representation.

Data encryption at rest and during transit, role-based access.

Use distributed databases (e.g., Cassandra) for large-scale tracking.

API integration with DSPDS components for lifecycle events sharing.

GDPR compliance for data privacy; ISO 27001 for data security.

Interactive visualization interface with accessibility options.