What is data modeling, and why does it break down? Fundamentally, data modeling involves arranging data in a structured way to improve accessibility and use for a range of applications and analyses.

Data models are used to represent real-world entities, but often have limitations. Avoid common data modeling mistakes for data integrity.

1. Centralized model The data warehouse allows enterprises to store data in a single, curated location so, in theory, everyone can find and query their data with confidence.

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more ...