What is Correlation
A statistical relationship between two quantities, showing how they change together.
Definition
Correlation is a statistical relationship between two quantities, showing how they change together. Simply put, this concept helps you work with data as the basis for analytics, recommendations, and models. In practice, it helps to understand what capabilities the tool actually has, what data it will need, and what limitations are worth checking before implementation.
Example
The analyst sees that session duration is associated with the likelihood of a purchase, but does not conclude the reason without verification.
Why it matters
Correlation helps look for patterns, but does not prove cause and effect. This helps you choose AI tools not by big promises, but by how they work in a real problem.
How it works
Data is collected, cleaned, described, transformed and analyzed to produce a robust conclusion or prepare a model. In the case of the term “Correlation”, it is important to look separately at the data, quality criteria and application conditions.
Where it is used
- Used in analytics, data preparation, pattern finding, reporting, forecasting and model building.
Limitations
Even careful analysis can be flawed if the data is biased, outdated, poorly cleaned, or misinterpreted.