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Sep 7, 2026 10 min

How Data Teams Measure ROI Beyond Accuracy

from The Data Science Podcast with Fexingo: Analytics, Machine Learning, and Data-Driven Conversations Hosted by Fexingo

We explore the hidden gap between model accuracy and actual business value, using a specific case where a retail giant’s high-precision inventory model failed to move product. Lucas and Luna break down why optimizing for F1 scores can lead to zero return on investment, and how leading data teams are shifting toward causal inference and marginal lift modeling to prove true economic impact. This is not about better algorithms, it is about better accounting. #DataScience #MachineLearning #BusinessROI #ModelImpact #CausalInference #LiftModeling #RetailAnalytics #SupplyChainOptimization #LucasAndLuna #FexingoBusiness #BusinessPodcast #TechTrends2026 #DataStrategy #EconomicValue #PredictiveAnalytics #OperationalEfficiency #DecisionScience #DataLeadership Keep every episode free: buymeacoffee.com/fexingo

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How Data Teams Measure ROI Beyond Accuracy

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This episode is 10 minutes long.

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This episode was published on September 7, 2026.

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