Sdot Data Analysis

🔍 Diagnostic Analysis: Finding the 'Why' Behind Data

Diagnostic analytics helps organizations understand why certain events happened by exploring the relationships between different data points. This method is crucial for problem-solving and root cause analysis.

Some common diagnostic analysis techniques include:

• Correlation Analysis – Identifies how different variables influence each other (e.g., sales performance and advertising spend).
• Drill-Down Analysis – Allows users to analyze data at different levels, moving from a high-level view to detailed insights.
• Comparative Analysis – Compares historical and current data to detect performance trends.

For instance, if a company notices a drop in customer engagement, diagnostic analysis can determine whether it was due to pricing changes, competitor actions, or marketing inefficiencies.