What is diagnostic analytics and when is it applied?

< 1 min read

Diagnostic analytics explains why something happened by analyzing historical data.
It often uses drill-downs, correlations, and root cause analysis.
In one project, we investigated why monthly sales dropped in a region.
We found delayed deliveries and stock-outs were the main causes.
Operations used this insight to improve logistics and inventory planning.
It is applied when a business wants to understand the reasons behind trends or issues.
Diagnostic analytics helps prevent repeated problems and supports informed decisions.

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