WHAT IS DIAGNOSTIC ANALYTICS?
Diagnostic analytics focuses on answering one important question:
Why did it happen?
It looks at past data to understand the reasons behind a result, trend, or problem. Instead of just seeing what happened, diagnostic analytics helps uncover the root cause.
MAIN PURPOSES OF DIAGNOSTIC ANALYTICS
1. Finds the cause of problems
Helps explain why sales dropped, costs increased, or performance changed.
2. Compares different data points
Looks at patterns, trends, and relationships between variables.
3. Identifies weaknesses and issues
Highlights errors, gaps, or unexpected changes in data.
4. Supports better problem-solving
Gives clear insights so teams can fix the right problems.
REAL-LIFE EXAMPLE
Sales decreased last month
Diagnostic analytics helps answer:
Was it due to price changes, fewer customers, or marketing issues?
WHY IT MATTERS
Helps understand problems clearly
Prevents wrong assumptions
Improves future decisions
Knowing why something happened is the key to improving results.
FOUND THIS HELPFUL?
๐ Like if you learned something new
๐ Share to help others understand data analytics
๐ Follow for more simple tech explainers!



