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This addresses a different case: A European file encodes 31/12/2025 but the model interprets it as a US month/day date. It is not the specific defect in 'Leave variants untouched and sort by country name'.

Product familiarity is not evidence of suitability. The actual defect in this proposal is: Sorting does not merge semantic duplicates.

This is reasoning supporting the preferred solution 'Standardize the variants with a documented mapping during Power Query cleaning', but it does not directly name the defect in the proposed shortcut.

Approval of a proposed design is not evidence of working behavior. The required observation is: All three input variants map to the same accepted country key.

A future test is not yet observed operational evidence. The verification must establish: All three input variants map to the same accepted country key.

This belongs to a different case: A European file encodes 31/12/2025 but the model interprets it as a US month/day date. It does not validate the current change.

This observes the original approach but is not an additional action: All three input variants map to the same accepted country key.

This remains unsuitable for the original situation: Sorting does not merge semantic duplicates. It also does not meet the changed need.

This is the already implemented original solution: Standardize the variants with a documented mapping during Power Query cleaning. Consistent dimension labels prevent accidental duplicate categories. It does not itself solve the new requirement.

Discarding the full fact table loses valid financial records. The proposed shortcut 'Replace errors by silently deleting the entire Sales table' fails the documented need.

This might be appropriate after a different requirement arises: Finance insists missing revenue values remain distinguishable from zero. It is not the best initial response to the stated case.

This addresses a separate source situation: A data analyst notices that a successful preview becomes an error on service refresh when a source column disappears. It does not directly satisfy this case's priority.

Product familiarity is not evidence of suitability. The actual defect in this proposal is: Discarding the full fact table loses valid financial records.

This is reasoning supporting the preferred solution 'Detect and handle invalid text before applying a decimal data type', but it does not directly name the defect in the proposed shortcut.

This addresses a different case: A data analyst notices that a successful preview becomes an error on service refresh when a source column disappears. It is not the specific defect in 'Replace errors by silently deleting the entire Sales table'.

This belongs to a different case: A data analyst notices that a successful preview becomes an error on service refresh when a source column disappears. It does not validate the current change.

A future test is not yet observed operational evidence. The verification must establish: Revenue has the expected numeric type and exception rows are documented.

Approval of a proposed design is not evidence of working behavior. The required observation is: Revenue has the expected numeric type and exception rows are documented.

This observes the original approach but is not an additional action: Revenue has the expected numeric type and exception rows are documented.

This remains unsuitable for the original situation: Discarding the full fact table loses valid financial records. It also does not meet the changed need.

This is the already implemented original solution: Detect and handle invalid text before applying a decimal data type. Non-numeric tokens cannot safely convert into numeric values. It does not itself solve the new requirement.

This addresses a separate source situation: An analyst finds a large number of unexpected negative quantities in an order table. It does not directly satisfy this case's priority.

Integer type cannot preserve the intended calendar dates. The proposed shortcut 'Treat all date strings as plain whole numbers' fails the documented need.

This is an unsuitable alternative for a different situation: An analyst finds a large number of unexpected negative quantities in an order table. It does not establish the requested action, evidence, or follow-up.

This addresses a different case: An analyst finds a large number of unexpected negative quantities in an order table. It is not the specific defect in 'Treat all date strings as plain whole numbers'.

This is reasoning supporting the preferred solution 'Use Change Type with Locale for the correct regional date format', 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: Integer type cannot preserve the intended calendar dates.

This belongs to a different case: An analyst finds a large number of unexpected negative quantities in an order table. It does not validate the current change.

Approval of a proposed design is not evidence of working behavior. The required observation is: The transformed field recognizes 31 December 2025 correctly.

A future test is not yet observed operational evidence. The verification must establish: The transformed field recognizes 31 December 2025 correctly.

This remains unsuitable for the original situation: Integer type cannot preserve the intended calendar dates. It also does not meet the changed need.

This is the already implemented original solution: Use Change Type with Locale for the correct regional date format. Parsing with the appropriate locale avoids reversing or invalidating day and month. It does not itself solve the new requirement.

This observes the original approach but is not an additional action: The transformed field recognizes 31 December 2025 correctly.