In data mapping, a default value refers to a fixed value assigned to a specific field in the target system. It establishes consistency and standardization, especially when certain data is missing or unknown.
For example, it can be used to transfer all source tickets to the target platform with a default "open" status or a "low" priority.
Why does the default value matter?
- Standardization: Ensures consistency by providing a predefined value when data is missing or unknown.
- Data transformation: Useful for transforming data between source and target systems, particularly when essential information is absent.
- Data validation: Acts as indicators or placeholders, flagging data points requiring further attention or manual review.
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