This project demonstrates my proficiency in using SQL scripts for data exploration, analytics, and reporting. The scripts cover various analyses such as database exploration, measures and metrics, time-based trends, cumulative analytics, segmentation, and more.
Note: This project represents the next step in my data journey, building directly upon the SQL Data Warehouse Project I completed previously. You can explore the SQL Data Warehouse Project here.
The analysis is structured in two progressive phases:
- Basic Data Exploration - Foundational queries to understand data structure and core business metrics
- Advanced Analytics - Time-series analysis, performance comparisons, and customer segmentation
- Database structure exploration and data profiling
- Core business metrics and KPI calculations
- Customer demographics and geographic distribution
- Product performance analysis and rankings
- Time-series analysis and trend identification
- Running totals and cumulative metrics
- Year-over-year performance comparisons
- Customer segmentation and lifecycle analysis
- Category contribution analysis
- Product cost segmentation
- Advanced SQL querying and optimization
- Window functions and analytical functions
- Common Table Expressions (CTEs)
- JOINs across dimensional tables
- Date/time manipulation and analysis
- Conditional logic and data categorization
- Performance ranking and comparative analysis