AI-DATA-READINESS5 MIN READ
Run DMAIC on a CRM field the model cannot trust
Apply DMAIC decisions to define, measure, analyze, improve, and control an AI data-quality defect.
The messy start The model misclassifies enterprise opportunities because CRM industry is wrong in a material slice of records. A cleanup sprint will not hold if the defect is being recreated upstream. DMAIC Define, Measure, Analyze, Improve, Control Move in order. Each stage prevents one common readiness mistake. Shortcut Clean rows immediately A fix that lasts beyond the sprint. DMAIC turns a vague data-quality complaint into a controlled process improvement. 01 Define 02 Measure 03 Analyze 04 Now try
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