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The article argues that standardizing metric definitions, business rules, and access points within a single semantic layer can reduce the risks of conflicting numbers, weak governance, and failed change implementation across analytics and artificial intelligence tools. However, it emphasizes that this layer does not fix poor-quality data and cannot replace an organization’s commitment to standardizing definitions.