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These are the steps in the merge process.
1. ) Defining merge source and target: The Target node is the one node you drag another node onto. The Source is the node being dragged. They must be of the same type, e.g. Organization.
2. ) Review merge suggestions: The suggested changes to add or remove content will be highlighted. These are based on the merge type and merge weighting. See Merge Types and Merge Weighting below for more details.
3. ) Manual edits: While its possible to use Orthogramic’s suggestions for the merge, manual edits are highlighted as you make them.
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4. ) Confirming the merge: After you select Merge at the bottom of the Insights Panel, you will be required to confirm your merge.
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Update data values: Weighted scores—such as relevance, quality, and quantity are recalculated for the relevant organization unit and its business domains based on the newly merged data.
Merge types
When merging a document in Orthogramic, a merge type is automatically selected from three types of merges below based on how the new information should best 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.
Merge type and description | Use case | Outcome |
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Additive: This 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. |
| The merged document contributes to the domain while keeping all prior data intact. |
Overwrite: This merge replaces outdated or redundant domain data with higher-priority content from the new document.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. |
| Older data is removed and replaced by the new document’s content. |
Update: This merge selectively integrates new data while preserving historical context where relevant. This approach balances maintaining past records while incorporating necessary updates. |
| The merged content reflects updated information while keeping historical dependencies intact. |
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