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This addresses a different case: A desktop model auto-creates many hidden date tables for every datetime field. It is not the specific defect in 'Hide unused columns in Report view but keep all their data loaded'.

Product familiarity is not evidence of suitability. The actual defect in this proposal is: Hiding fields does not remove their storage cost.

This is reasoning supporting the preferred solution 'Remove unused columns from the import query and semantic model', but it does not directly name the defect in the proposed shortcut.

A future test is not yet observed operational evidence. The verification must establish: The refreshed model is smaller while required measures still work.

Approval of a proposed design is not evidence of working behavior. The required observation is: The refreshed model is smaller while required measures still work.

This belongs to a different case: A desktop model auto-creates many hidden date tables for every datetime field. It does not validate the current change.

This remains unsuitable for the original situation: Hiding fields does not remove their storage cost. It also does not meet the changed need.

This observes the original approach but is not an additional action: The refreshed model is smaller while required measures still work.

This is the already implemented original solution: Remove unused columns from the import query and semantic model. Fewer imported fields reduce memory size and can improve compression. It does not itself solve the new requirement.

This addresses a separate source situation: Power Query transforms a SQL source in ways that unexpectedly pull millions of rows into the local engine. It does not directly satisfy this case's priority.

This might be appropriate after a different requirement arises: Audit users need occasional ten-year history. It is not the best initial response to the stated case.

Visual filtering does not reduce semantic-model ingestion cost. The proposed shortcut 'Load all transactions and hide old periods using page-level visual filters' fails the documented need.

This is reasoning supporting the preferred solution 'Filter unnecessary source rows before import and validate query folding', 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: Visual filtering does not reduce semantic-model ingestion cost.

This addresses a different case: Power Query transforms a SQL source in ways that unexpectedly pull millions of rows into the local engine. It is not the specific defect in 'Load all transactions and hide old periods using page-level visual filters'.

A future test is not yet observed operational evidence. The verification must establish: The source-side query excludes old periods and the model shrinks.

Approval of a proposed design is not evidence of working behavior. The required observation is: The source-side query excludes old periods and the model shrinks.

This belongs to a different case: Power Query transforms a SQL source in ways that unexpectedly pull millions of rows into the local engine. It does not validate the current change.

This observes the original approach but is not an additional action: The source-side query excludes old periods and the model shrinks.

This is the already implemented original solution: Filter unnecessary source rows before import and validate query folding. Reducing imported rows lowers model size and refresh work. It does not itself solve the new requirement.

This remains unsuitable for the original situation: Visual filtering does not reduce semantic-model ingestion cost. It also does not meet the changed need.

This might be appropriate after a different requirement arises: ProductCode becomes necessary for operational drillthrough. It is not the best initial response to the stated case.

This addresses a separate source situation: A report loads slowly and the analyst must identify which specific visual is responsible. It does not directly satisfy this case's priority.

Duplicating unique text can increase model size without analytics value. The proposed shortcut 'Duplicate ProductCode into several calculated columns for convenience' fails the documented need.

Product familiarity is not evidence of suitability. The actual defect in this proposal is: Duplicating unique text can increase model size without analytics value.

This addresses a different case: A report loads slowly and the analyst must identify which specific visual is responsible. It is not the specific defect in 'Duplicate ProductCode into several calculated columns for convenience'.

This is reasoning supporting the preferred solution 'Evaluate removing the high-cardinality unused ProductCode column', 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: Memory and compressed column size decrease without breaking report requirements.

A future test is not yet observed operational evidence. The verification must establish: Memory and compressed column size decrease without breaking report requirements.

This belongs to a different case: A report loads slowly and the analyst must identify which specific visual is responsible. It does not validate the current change.

This observes the original approach but is not an additional action: Memory and compressed column size decrease without breaking report requirements.

This remains unsuitable for the original situation: Duplicating unique text can increase model size without analytics value. It also does not meet the changed need.

This is the already implemented original solution: Evaluate removing the high-cardinality unused ProductCode column. High-cardinality columns can materially increase VertiPaq storage cost. It does not itself solve the new requirement.