Define CRM field quality using dimensions that can be tested and owned.
The move: turn vague cleanliness into a testable data quality rule. CRM admins hear broad complaints: "the data is messy," "the report is not reliable," or "Sales is not updating things." Those complaints are too broad to fix. Data quality dimensions make them operational. Completeness asks whether records and essential values are present. Validity asks whether values are in the right format or allowed range. Accuracy asks whether the value matches reality. Timeliness asks whether the value was updated soon enough to be useful. Uniqueness asks whether one real-world thing appears once. Consistency asks whether the same concept is represented…
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