The next step in the analytics journey, diagnostic analytics is aimed at understanding the “why” behind an occurrence. Studying the cause will help organizations mitigate or plan better for their future. Diagnostic analytics uses data drilling, data mining, and correlation analysis to uncover underlying causes. A simple example would be when product marketing teams are planning for a product launch campaign, diagnostic analytics reports of previous campaigns will help them plan better.

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