A retail data analysis project focused on designing and organizing a relational database using Microsoft SQL Server.
The project includes:
• Designing tables for customers, products, locations, shipping methods, dates, and sales.
• Defining primary keys and relationships between tables.
• Structuring retail data to support analytical queries and reporting.
• Exploring sales data to support business analysis and decision-making.
Tools: Microsoft SQL Server, SQL, Excel.
The goal is to build a structured data foundation for reliable retail reporting and analysis.