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This observes the original approach but is not an additional action: City and State load separately with no leading spaces.

This remains unsuitable for the original situation: Transposition changes orientation but does not parse delimiters. It also does not meet the changed need.

This is the already implemented original solution: Split the column by its documented comma delimiter and trim results. Splitting a delimited field creates separate analyzable attributes. It does not itself solve the new requirement.

This addresses a separate source situation: A location file has City and State concatenated as Austin, TX in one column. It does not directly satisfy this case's priority.

This might be appropriate after a different requirement arises: The wholesale branch must be frozen to a separate independent M chain. It is not the best initial response to the stated case.

Independent copies can diverge when the base cleaning changes. The proposed shortcut 'Copy and paste the entire source M script separately for each view' fails the documented need.

This is reasoning supporting the preferred solution 'Create Reference queries from the cleaned base query', but it does not directly name the defect in the proposed shortcut.

This addresses a different case: A location file has City and State concatenated as Austin, TX in one column. It is not the specific defect in 'Copy and paste the entire source M script separately for each view'.

Product familiarity is not evidence of suitability. The actual defect in this proposal is: Independent copies can diverge when the base cleaning changes.

Approval of a proposed design is not evidence of working behavior. The required observation is: Both derived queries reflect a change made to the shared base cleanup.

A future test is not yet observed operational evidence. The verification must establish: Both derived queries reflect a change made to the shared base cleanup.

This belongs to a different case: A location file has City and State concatenated as Austin, TX in one column. It does not validate the current change.

This remains unsuitable for the original situation: Independent copies can diverge when the base cleaning changes. It also does not meet the changed need.

This is the already implemented original solution: Create Reference queries from the cleaned base query. References share an upstream transformation lineage while allowing downstream variation. It does not itself solve the new requirement.

This observes the original approach but is not an additional action: Both derived queries reflect a change made to the shared base cleanup.

This addresses a separate source situation: A company stores Product, Category, and Brand repeated across every order line. It does not directly satisfy this case's priority.

Unneeded model tables consume memory and clutter the field list. The proposed shortcut 'Load every intermediate staging query as a final fact table' fails the documented need.

This might be appropriate after a different requirement arises: Analysts later need to inspect staging records in a separate diagnostic model. It is not the best initial response to the stated case.

This is reasoning supporting the preferred solution 'Disable Enable Load on the intermediate staging query', but it does not directly name the defect in the proposed shortcut.

This addresses a different case: A company stores Product, Category, and Brand repeated across every order line. It is not the specific defect in 'Load every intermediate staging query as a final fact table'.

Product familiarity is not evidence of suitability. The actual defect in this proposal is: Unneeded model tables consume memory and clutter the field list.

This belongs to a different case: A company stores Product, Category, and Brand repeated across every order line. It does not validate the current change.

A future test is not yet observed operational evidence. The verification must establish: The final tables refresh while the raw staging table does not appear in the model.

Approval of a proposed design is not evidence of working behavior. The required observation is: The final tables refresh while the raw staging table does not appear in the model.

This remains unsuitable for the original situation: Unneeded model tables consume memory and clutter the field list. It also does not meet the changed need.

This observes the original approach but is not an additional action: The final tables refresh while the raw staging table does not appear in the model.

This is the already implemented original solution: Disable Enable Load on the intermediate staging query. Staging queries can support other transformations without creating extra model tables. It does not itself solve the new requirement.

This might be appropriate after a different requirement arises: Region labels need to be attached from a separate Store dimension. It is not the best initial response to the stated case.

This addresses a separate source situation: A transactions table includes a currency field stored as text such as 1,234.56 USD. It does not directly satisfy this case's priority.

A join may duplicate or drop rows instead of adding region transactions. The proposed shortcut 'Merge the tables using StoreID when their rows represent different regions' fails the documented need.

This is reasoning supporting the preferred solution 'Use Append Queries instead of Merge Queries', but it does not directly name the defect in the proposed shortcut.

Product familiarity is not evidence of suitability. The actual defect in this proposal is: A join may duplicate or drop rows instead of adding region transactions.

This addresses a different case: A transactions table includes a currency field stored as text such as 1,234.56 USD. It is not the specific defect in 'Merge the tables using StoreID when their rows represent different regions'.