Data Analysis Insights
Susan and Auren discuss the limitations of using past data for predictive modeling and highlight the importance of running experiments to determine customer prioritization. They emphasize the significance of collecting accurate data to ensure models lead to desired outcomes.In this clip
From this podcast
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