Build the AI analysis path before modeling
Apply CRISP-DM stages to an AI-assisted churn analysis from business question to deployment.
The client wants AI-assisted churn risk analysis before renewal season, but the team has not confirmed data quality or how account teams will act. CRISP-DM: business understanding -> data understanding -> preparation -> modeling -> evaluation -> deployment The trap is treating the ranked list as the deliverable. A risk score without evaluation and deployment can create false urgency or wasted account activity. Business understanding Define the decision: which renewal accounts should CSMs prioritize in the next 30 days, and which play should each receive? This makes the analysis operational. The model output must support prioritization and action, not curiosity.…
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