Diagnostic analytics is a form of advanced analytics that examines data or content to answer the question, “Why did it happen?” It attempts to understand causation and behaviors by utilizing such techniques as drill-down, data discovery, data mining and correlations. Building a decision tree atop a web user’s clickstream behavior pattern could be considered a form of diagnostic analytics as these patterns might reveal why a person clicked his or her way through a website. Diagnostic analytics takes a deeper look at data to attempt to understand the causes of events and behaviors.

Benefits of Diagnostic Analytics

Diagnostic analytics lets a business user understand his or her data faster, helping to answer critical workforce questions as well as increase ROI.

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