A CRM with inconsistent lifecycle stages creates broken reporting, unreliable handoffs, and duplicate operational work. You need a pipeline approach that cleans historical data, defines a canonical lifecycle model, and stops invalid values or transitions from reappearing.
Historical records contain aliases, blanks, and skipped stagesDifferent teams use different definitions for the same stageCorrections must be repeatable and safe to rerunThe source CRM must stay aligned with the warehouse model