- BAs should be careful with correlation insights because correlation does not prove cause and effect.
- In one project, we saw a strong correlation between marketing spend and revenue growth.
- However, deeper analysis showed seasonality was the real driver behind both.
- Acting only on correlation can lead to incorrect business decisions.
- There may be hidden variables influencing both metrics.
- Correlation can also be coincidental, especially in large datasets.
- As a BA, I validate insights using additional analysis or business context.
- So correlation is a starting point for investigation, not final proof.
Why should BAs be careful with correlation insights?
Updated on February 26, 2026
< 1 min read
