Map data readiness with SIPOC
Use SIPOC to identify data and workflow gaps before starting an AI build.
A churn-risk model is delayed because account notes are inconsistent and renewal-risk reasons are missing. Use SIPOC to map the process that creates the data before asking the model to learn from it. The novice move is to ask data engineering to clean the dataset without changing the upstream process that keeps creating bad records. Before The AI team treats data quality as a technical cleanup task and argues with the business about missing fields. After The team maps supplier behavior, required inputs, process timing, model output, and workflow customer, then fixes the capture point before training. Suppliers Customer success…
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