Convert a vague cleanup request into a reproducible SQL rule.
Review partner RP analyst or stakeholder 1 Ask 2 Name 3 Verify A manager says, "Export it and I will remove weird rows manually." The weird rows are duplicated accounts from a join, and the board deck is due tomorrow. The conversation can either protect trust or bury a data assumption. turns choices each Ask, name, verify Data quality work needs reproducible rules. IBMs dimensions such as completeness, consistency, and validity help frame the issue: are rows duplicated, missing, stale, or invalid? In SQL fundamentals, the move is to translate "weird" into a testable predicate or grain problem. A review…
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