Summary
Introduce data integrity validation capabilities to verify that business data remains consistent across connected systems.
The objective is not to compare databases, but to ensure users experience consistent business information regardless of where it originates.
Objectives
- Detect business data inconsistencies.
- Validate data exposed by frontend systems.
- Compare business outcomes between connected systems.
- Report data integrity health.
Examples
- Inventory consistency between ERP and storefront
- Product price consistency
- Product availability
- Category assignments
- Customer account synchronisation
- Order status consistency
Validation Principle
The Health Engine validates that connected systems communicate the same business meaning.
It does not require identical implementations or identical datasets. Instead, it verifies that users receive consistent information regardless of which system provides the data.
Future Enhancements
- Event-driven validation
- Historical drift detection
- Cross-system reconciliation
- Automated anomaly detection
- Business consistency scoring
Validation Principle
The Health Engine validates that connected systems communicate the same business meaning.
It does not require identical implementations, identical datasets, or identical data models. Instead, it verifies that users and business processes observe consistent outcomes regardless of which system provides the information.
Summary
Introduce data integrity validation capabilities to verify that business data remains consistent across connected systems.
The objective is not to compare databases, but to ensure users experience consistent business information regardless of where it originates.
Objectives
Examples
Validation Principle
The Health Engine validates that connected systems communicate the same business meaning.
It does not require identical implementations or identical datasets. Instead, it verifies that users receive consistent information regardless of which system provides the data.
Future Enhancements
Validation Principle
The Health Engine validates that connected systems communicate the same business meaning.
It does not require identical implementations, identical datasets, or identical data models. Instead, it verifies that users and business processes observe consistent outcomes regardless of which system provides the information.