When merging a document in Orthogramic, you can choose from three types of merges based on how the new information should integrate with existing business architecture domain data. Each merge type ensures that your organization maintains a structured and strategic approach to managing its domain data.
An additive merge integrates the new document’s data alongside existing domain data without removing or replacing any content. This approach is ideal when the new information provides additional insights or expands on existing knowledge without creating conflicts.
Use case:
When the document contains complementary information that enhances an existing domain without requiring changes to previous data.
When multiple perspectives or data sources should be retained for future reference.
Outcome:
The merged document contributes to the domain while keeping all prior data intact.
An overwrite merge replaces outdated or redundant domain data with higher-priority content from the new document. This approach is useful when the new document provides more accurate, updated, or authoritative information than what currently exists.
Use case:
When the document contains the latest policy, strategy, or regulatory update that must replace outdated versions.
When previous data is no longer relevant or has been superseded by new business decisions.
Outcome:
Older data is removed and replaced by the new document’s content.
An update merge selectively integrates new data while preserving historical context where relevant. This approach balances maintaining past records while incorporating necessary updates.
Use case:
When parts of the document contain updates that should be merged with existing data without completely removing prior versions.
When historical context is important for tracking changes over time, but certain aspects of the domain require modification.
Outcome:
The merged content reflects updated information while keeping historical dependencies intact.
Before proceeding with a merge, review the proposed integration to ensure alignment with organizational objectives. Orthogramic provides an opportunity to review and edit the proposed merge before finalizing it, allowing you to refine the data integration process based on business needs.