RESEARCH & NOTES

Insights on Machine Learning,
Algorithms & Data

Practical technical writing from the work of building production models that turn existing business data into better decisions.

DATA ADVANTAGE SERIES
Part 1 · Aug 14, 2026
Bad Data = Bad Results

In an AI world, your model is only as good as its training data. Why dirty CRM records ruin lead scoring and churn models.
Part 2 · Aug 21, 2026
Your Company Data Is the Most Undervalued Asset in Your Business

Spirit is shut down, and Google still agreed to pay $10M for its enterprise data. Why your operating history is the real moat.
Part 3 · Aug 28, 2026
Using Your Data: How Internal Records Become a Real Advantage

Owning data is not the win. Using it is. How fitted churn, lead, forecast, and targeting models change the weekly rhythm.
FLAGSHIP PIECE
How We Build Models

Our data-first philosophy: start with the datasets your company already generates, engineer the right signals, choose and tune algorithms for the actual decisions your teams make, and ship models that improve lead prioritization, retention, and forecasting.

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Topics on our roadmap

Planned themes for future notes.

Feature Engineering for Tabular Business Data
What actually predicts in lead and customer datasets vs. what looks good in notebooks.
Data Collection That Improves Models
Labeling strategies, instrumentation decisions, and avoiding the "more data" trap.
Evaluating Models for Real Decisions
Beyond AUC: calibration, lift at operating points, expected value, and drift monitoring.
Why Forecasting Models Degrade (and How to Build Ones That Last)
Seasonality, concept drift, and building forecasts your planners can actually use.
Churn Prediction: Finding Actionable Drivers
Not just "who will leave" — which behaviors and interventions actually change the outcome.
Production ML Without Massive New Infrastructure
Fitting high-leverage models to the data and systems companies already run on.

Explore our models or talk to us about fitting lead scoring, churn prediction, and forecasting to your data.

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