Category: Analytics
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Not All Models Are Created Equal—Why You Need a Model Quality Score
If you give ten modelers the same dataset, you’ll get ten different models. That’s not a dig—it’s just the reality of how subjective model building can be. Each person brings their own style, preferences, and interpretation of the data. But when the stakes are high—forecasts, strategic decisions, resource allocations—how do you know which model is Read more
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The Analytics Minefield: Some Lessons from the Trenches
Over 20 years in analytics has taught me one thing: most data science failures don’t come from bad math — they come from bad judgment. In this post, I expose the most common (and costly) mistakes I’ve seen in analytics and data science projects — from overpromising forecasts with limited data, to misusing dollar-based models… Read more
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Unlock Effective Analytics Solutions That Work.
The allure of data science is undeniable – transformative insights, predictive power, and game-changing optimizations. Companies invest significantly, hoping for a competitive edge. However, these efforts frequently result in unused models and insights that do not impact the business. Industry failure rates hover at 70-85%, costing billions. Read more