Architecture

The GDPR Data Management app is built using a modular architecture that integrates seamlessly with Microsoft Dynamics 365 Business Central.

System Overview

┌─────────────────────────────────────────────────────────┐
│                User Interface Layer                     │
├─────────────────────────────────────────────────────────┤
│  GDPR Register List  │  Data Cleaner Log  │ Permissions │
└─────────────────────────────────────────────────────────┘
                            │
┌─────────────────────────────────────────────────────────┐
│                Business Logic Layer                     │
├─────────────────────────────────────────────────────────┤
│ Documentation Mgt │ Data Cleaner │ Filter Selector     │
└─────────────────────────────────────────────────────────┘
                            │
┌─────────────────────────────────────────────────────────┐
│                  Data Layer                             │
├─────────────────────────────────────────────────────────┤
│   Setup   │   Elements   │   Categories   │   Logs     │
└─────────────────────────────────────────────────────────┘
                            │
┌─────────────────────────────────────────────────────────┐
│              Business Central Platform                  │
└─────────────────────────────────────────────────────────┘

Core Components

Business Logic Layer

DD GDPR Documentation Mgt (Codeunit 11195990)

• Purpose: Manages the initialization and documentation of personal data
• Key Functions:
  • Initialize data structure and permission sets
  • Create and manage documentation elements
  • Handle hierarchical data organization
  • Progress tracking for bulk operations

QTEAM Data Cleaner (Codeunit 11195993)

• Purpose: Handles bulk data cleaning operations
• Key Functions:
  • Clear personal data from specified fields
  • Error handling and logging
  • Session management for bulk operations
  • Progress reporting and statistics

QteamFilterSelector (Codeunit 11195992)

• Purpose: Provides advanced filtering capabilities
• Key Functions:
  • Dynamic filter creation
  • Field selection logic
  • User permission validation

Data Layer

Configuration Tables

• DD GDPR Setup (11195993): Main configuration settings
• DD GDPR Data Category (11195992): Data category definitions

Documentation Tables

• DD GDPR Documentation Element (11195991): Hierarchical data structure
• DD GDPR Table (11195994): Table-level permissions and metadata

Logging Tables

• QTEAM Data Cleaner Log Entry (11195990): Individual cleaning operations
• QTEAM Cleaner Session Log (11195992): Session-level tracking

User Interface Layer

List Pages

• GDPR Register List (11195995): Main navigation and overview
• Data Cleaner Session Log (11195990): Historical session tracking
• Permissions List (11195993): Permission management

Card Pages

• GDPR Register Card (11195996): Detailed element configuration
• Data Category Card (11195998): Category management

Integration Points

Business Central Integration

• Permission System: Leverages BC permission sets and security
• Table Metadata: Uses BC table and field information
• User Management: Integrates with BC user authentication
• Application Insights: Telemetry integration for monitoring

Extension Architecture

• Object Range: 11195990-11195999 ensures no conflicts
• Dependency Free: No external dependencies for maximum compatibility
• Translation Support: Multi-language capability through BC translation framework

Data Flow

Initialization Process

1. Setup Validation: Check GDPR Setup table configuration
2. Permission Set Creation: Create or validate personal data permission set
3. Metadata Collection: Gather table and field information
4. Element Creation: Build hierarchical documentation structure

Data Cleaning Process

1. Session Start: Create new cleaning session log entry
2. Filter Application: Apply user-defined filters to target data
3. Permission Check: Validate user permissions for each operation
4. Field Cleaning: Clear data with error handling
5. Logging: Record success/failure for each field operation
6. Session Complete: Update session statistics and status

Security Architecture

Permission-Based Access

• Role-Based Security: Uses BC permission sets for access control
• Field-Level Permissions: Granular control over data access
• Operation Logging: All operations tracked for audit purposes

Data Protection

• In-Transit: Uses BC's built-in encryption
• At-Rest: Leverages BC database security
• Access Control: Multi-layer permission validation