Diagnostic Analytics

In this lesson, we will learn Diagnostic Analytics. We will understand how to answer “Why did it happen? ” using root cause analysis, drill-down, segmentation, comparison, variance analysis, KPI trees, and driver analysis through practical examples. ## Lesson objective In this lesson, we will learn Diagnostic Analytics. In the previous lesson, we covered Descriptive Analytics. We learned summary metrics, aggregation, granularity, total, count, average, rate metrics, trend analysis, period comparison, breakdown analysis, share, contribution, ranking, KPI monitoring, and descriptive dashboard logic. Now we move to a deeper question: Descriptive Analytics shows what happened.