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Beneficiary Lifecycle Tracking - IBR-001

Beneficiary Lifecycle Tracking - IBR-001

Program Architecture Layer

Analytics Layer

Capability Area

Reporting and Analytics

Component

Analytics Engine

Sub-Component

Beneficiary Lifecycle Tracker

Level of Importance

Optional

Priority

Medium

Social Protection Delivery Chain Stage

Manage

Requirement Description

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

Justification

Enables long-term analysis of program effectiveness and beneficiary outcomes

Use Case

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

Data Elements Required

Beneficiary ID, Program Participation Data, Progression Metrics

Minimum Technical Specifications

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

  • Tracking Capability Area: 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.

Standard Technical Specifications

  • Database: Relational Database with advanced indexing and partitioning.

  • Tracking Capability Area: 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.

Advanced Technical Specifications

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

  • Tracking Capability Area: 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.

Security & Privacy Requirements

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

Scalability Considerations

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

Interoperability Requirements

Interfaces for sharing lifecycle events data with other DSPDS functions.

Compliance with International Standards

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

User Interface Requirements

Interactive visualization interface with accessibility options.