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.

Beyond collecting data such as KPIs and clicks, brands should build a media data model to build better data insights. Here are the benefits of doing so.

Data analytics have either been centralized or decentralized. Data mesh tried to fix that. The hub-and-spoke model goes further.

Cloud Information Model vs. Open Data Initiative: Analysts Speak They Help, But 'Not a Complete Answer' "Ultimately, I think most companies will end up having their own data models.