### 🧭 Overview — Challenge 03  Data → Signal

A grocery chain now trusts its data — but can it see the story within it?
With a clean, validated database in place, the next step is to uncover patterns, trends, and signals that guide real decisions.

In this challenge, you’ll move from **data integrity to temporal intelligence** — transforming historical records into forecasts and insights that reveal how the business really moves through time.

**Dr. V's Slide Decks :** [The Architecture of Validity](https://starshiptutor.substack.com/p/the-architecture-of-validity), [Challenge 01](https://starshiptutor.substack.com/p/challenge-01-spaghetti-schema-294), [Challenge 02](https://starshiptutor.substack.com/p/challenge-02-errors-integrity), [Challenge 03](https://starshiptutor.substack.com/p/challenge-03-data-signal)
**Meet the Avatars :** [Dr. Elena Vasquez](https://starshiptutor.substack.com/p/introducing-dr-elena-vasquez), [Evan Morales](https://starshiptutor.substack.com/p/introducing-evan-morales), [Maya Chen](https://starshiptutor.substack.com/p/introducing-maya-chen), [Daniel Reeve](https://starshiptutor.substack.com/p/introducing-daniel-reeve)
**Kaggle Pages :** [Challenge 01](https://www.kaggle.com/competitions/challenge-01-spaghetti-schema-2026), [Challenge 02](https://www.kaggle.com/competitions/challenge-02-errors-integrity-2026), Challenge 03


You’ll explore seasonal patterns, demand cycles, and external factors like pricing or holidays, turning raw transactions into predictive signals ready for strategy and simulation.
Your task is to build interpretable forecasting pipelines that are **transparent, reproducible, and business-aware** — where every chart and prediction can be traced back to trustworthy data.

This third milestone in the **Grocery Retail – Driven by Data** series connects reliability with foresight.
You’ll prove that clean data isn’t just correct — it’s *illuminating*.