Document merging

Introduction

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.

Domain data extraction

Purpose

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.

Extraction process

For each affected organizational unit, the system evaluates:

• Normalized domain data

• Document weighting

• Criteria analysis values across business architecture domains

Organizational unit analysis

Structure

• 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

Comparison

• Document weighting: Normalized scores per business architecture domain relative to existing data.

• Criteria analysis: Normalized scores for relevance, quality, and quantity per domain.

Integration types

• 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• Overwrite merge: Replaces outdated domain data with higher-priority content.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.

Updating normalized values

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.