Which solution is used when importing problematic data to transform the source rather than scripts?

Which solution is used when importing problematic data to transform the source rather than scripts?

• A. Source Transformation
• B. Fix Scripts
• C. Enable state flows
• D. Auto close case on work order closure

Answer: (A)

Transforming data at import time is the approach used when the incoming data is inconsistent or needs normalization. Source Transformation lets you apply rules to the incoming data in the Import Set’s Transform Map, transforming the source values before they are mapped to the target fields. This is ideal for problematic data because you can standardize formats, clean up typos, convert date formats, map aliases, or derive correct values without writing scripts. The result is data that already fits the target schema as it enters the system, reducing the need for post-import fixes. The alternative of Fix Scripts would require writing custom code to adjust data during the transform, which is more maintenance-heavy. The other options relate to FSM workflows or case handling and aren’t about transforming data during import.

Transforming data at import time is the approach used when the incoming data is inconsistent or needs normalization. Source Transformation lets you apply rules to the incoming data in the Import Set’s Transform Map, transforming the source values before they are mapped to the target fields. This is ideal for problematic data because you can standardize formats, clean up typos, convert date formats, map aliases, or derive correct values without writing scripts. The result is data that already fits the target schema as it enters the system, reducing the need for post-import fixes. The alternative of Fix Scripts would require writing custom code to adjust data during the transform, which is more maintenance-heavy. The other options relate to FSM workflows or case handling and aren’t about transforming data during import.