The document merge process integrates a document’s domain data into the organization’s existing domain data structure. This ensures a comprehensive business perspective at the organizational unit level, reducing redundancy while preserving relevant, high-quality information aligned with organizational priorities.
Documents are analyzed to extract domain data, metadata, and key insights at both the organizational unit and business architecture domain levels. The extracted information determines whether integrating the document enhances organizational domain data while maintaining compliance with business architecture principles.
For each affected organizational unit, the system evaluates:
Normalized domain data
Document weighting
Criteria analysis values across business architecture domains
Hierarchy navigation: Navigate the existing organizational hierarchy for comparisons at each level.
Domain alignment: Use existing domain mappings within the organizational structure.
Business architecture domains: All
Document weighting: Normalized scores per business architecture domain relative to existing data.
Criteria analysis: Normalized scores for relevance, quality, and quantity per domain.
Additive merge: Combines complementary data with existing domain data.
Overwrite merge: Replaces outdated domain data with higher-priority content.
Update merge: Integrates updated data while preserving historical context.
Once a document merge is completed, the system updates the normalized values within the organization's existing domain data structure to ensure consistency, accuracy, and strategic alignment across all business architecture domains. This process involves recalculating domain-specific scores and rebalancing data relationships to maintain an optimal business perspective.