A practical, step-by-step playbook to frame predictive use cases, prepare data, choose simple models, validate results, deploy with human oversight, and monitor performance.
Welcome — Predict problems before they happen. Predictive analytics can turn recurring surprises into predictable, manageable work. This playbook helps teams frame realistic use cases, prepare trustworthy data, choose simple models that people can act on, validate results responsibly, deploy with human oversight, and...
Simple Model Choices — pick a sensible baseline and iterate. Start simple. A modest, interpretable model plus a strong baseline often solves problems faster and with less organizational friction than a complex black box. This guide helps you choose a first model and know when to consider more powerful but less...
Validation & Testing Deep Dive — make metrics match decisions. Validation is where many predictive projects succeed or fail. The goal is not a high headline metric but trustworthy estimates of how the model will behave when humans act on its output. Choose metrics tied to action. Map model outcomes to business costs...