Data sources, even high-quality ones, do not inherently guarantee consistency. Two sources may provide data for the same category but define attributes differently, apply different units of measure, or populate fields in inconsistent ways. Even within a single source, definitions and data quality can vary over time or across product lines. Without a shared standard, organizations must repeatedly interpret, normalize, and reconcile that variability internally.
