Types of Data Analytics

1. Descriptive Analytics

   • Purpose: To understand what has happened in the past.
   • Techniques: Data aggregation and data mining.
   • Tools: Reporting tools, dashboards, and visualization tools (e.g., Tableau, Power BI).
   • Example: Summarizing sales data to identify trends and patterns.

2. Diagnostic Analytics

   • Purpose: To understand why something happened.
   • Techniques: Drill-down, data discovery, and correlations.
   • Tools: Statistical analysis software (e.g., SAS, SPSS).
   • Example: Analyzing customer feedback to determine the cause of a drop in sales.