Executive Summary
This technical framework provides a comprehensive approach to building scalable consent management architectures that meet DPDPA's dynamic consent requirements while supporting enterprise-scale data processing operations. The framework addresses consent collection, storage, retrieval, and lifecycle management with built-in audit trails and granular control mechanisms.
Core Architecture Components
Consent Database Layer
- • Distributed consent storage with high availability
- • Real-time consent status tracking
- • Granular permission matrices
- • Automated consent expiry management
Processing Engine
- • Dynamic consent evaluation algorithms
- • Multi-purpose processing logic
- • Real-time compliance checking
- • Automated consent renewal workflows
User Interface Layer
- • Multi-channel consent collection
- • Self-service consent management portals
- • Mobile-responsive consent interfaces
- • Accessibility-compliant design
Audit & Compliance
- • Comprehensive audit logging
- • Regulatory reporting capabilities
- • Consent analytics and insights
- • Compliance monitoring dashboards
Scalability & Performance Framework
Performance Requirements
Scaling Strategies
Horizontal Scaling: Implement microservices architecture with independent consent processing nodes that can scale based on demand patterns and data volumes.
Caching Strategy: Deploy multi-tier caching for frequently accessed consent states, reducing database load and improving response times for high-volume consent queries.
Data Partitioning: Implement intelligent data partitioning strategies based on user segments, geographical regions, or data processing purposes to optimize query performance.
Implementation Roadmap
Foundation Phase (Weeks 1-4)
Establish core consent data models, database schema design, and basic API framework.
- • Define consent data structures and relationships
- • Implement basic CRUD operations for consent management
- • Set up initial security and authentication layers
Core Features Phase (Weeks 5-8)
Develop consent collection interfaces, processing logic, and basic user management features.
- • Build consent collection and presentation interfaces
- • Implement dynamic consent evaluation engine
- • Create user self-service consent management portal
Scaling & Compliance Phase (Weeks 9-12)
Add advanced features for enterprise scale, compliance monitoring, and audit capabilities.
- • Implement audit logging and compliance reporting
- • Add performance optimization and caching layers
- • Build monitoring and alerting infrastructure
Strategic Recommendations
Technical Priorities
- • Prioritize API-first design for system integration
- • Implement comprehensive logging from day one
- • Design for multi-tenant architecture flexibility
- • Plan for international data residency requirements
Operational Considerations
- • Establish clear consent lifecycle governance
- • Create user education and communication strategies
- • Develop incident response procedures for consent failures
- • Plan for regular compliance audits and reviews
Implementation Considerations
This framework requires significant technical expertise and resources. Organizations should conduct thorough risk assessments and consider phased implementation approaches. Regular security audits and performance monitoring are essential for maintaining system integrity and compliance.