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Business Decision Science

When Sales Data Tunes the Bayesian Engine

The EXA Bayesian Engine calculated win probabilities, but its precision depended on manually configured initial parameters. When 100 historical deals accumulated, the engine was ready to evolve on its own. Grid Search, MCMC Ensemble Sampling, and Cross-Validation — three mathematical pillars working in concert to find optimal parameters. Told as a story.

February 26, 202613 min read

Bayesian
Auto-Tuner
Grid Search

Business Theory

Finding the Optimal Boundary with Grid Search and Youden's J

How do you find the 'optimal' among 3,240 parameter combinations? Grid Search performs an exhaustive scan, and Youden's J Index finds the balance point between Sensitivity and Specificity. The mathematical principles behind data-driven tuning of sales stage weights (T) and signal sensitivity (k) — the first pillar of Auto-Tuner — explained with business context.

February 26, 202611 min read

Bayesian
Auto-Tuner
Grid Search

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2 articles tagged “Parameter Optimization”

When Sales Data Tunes the Bayesian Engine

Finding the Optimal Boundary with Grid Search and Youden's J

All Articles

2 articles tagged “Parameter Optimization”

When Sales Data Tunes the Bayesian Engine

Finding the Optimal Boundary with Grid Search and Youden's J