Check Data Feasibility Before Model Feasibility
Assess whether an AI use case has the business objective, data understanding, and evaluation path needed for a feasible pilot.
The data trap Everyone wants late-order prediction, but the label and decision window are unclear. A prediction that arrives after action is not useful. CRISP-DM Business first, data second, model later CRISP-DM moves from business understanding to data understanding and preparation before modeling. That sequence is the feasibility discipline. Shortcut Ask if AI can predict late orders. A feasible pilot scope. A model trained on late or unclear labels cannot rescue a vague use case. 01 Decision 02 Label 03 Timing Step 1 The request is 'predict late orders.'
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