Diagnostic analytics is the process of examining historical data to determine why something happened. It goes beyond descriptive analytics by using techniques like drill-down, data discovery, correlations, and statistical analysis to uncover root causes and relationships.
By understanding the underlying reasons behind past outcomes, diagnostic analytics helps businesses identify patterns, troubleshoot issues, and optimize processes. It provides valuable context for decision-making and prepares organizations for more accurate predictive and prescriptive analytics.