This project was built using a structured and cleaned dataset consisting of four main tables:

1. Orders Table

• Contains individual transaction records
• Fields: Order ID, Product ID, Customer ID, Order Date, Revenue, Quantity, Region ID

1. Products Table

• Contains product-level details
• Fields: Product ID, Product Name, Category, Unit Price

1. Customers Table

• Contains customer information
• Fields: Customer ID, Customer Name, Segment, Country

1. Regions Table

• Contains geographic data for mapping and filtering
• Fields: Region ID, Region Name

Each of these datasets was:

• Imported into SQL Server for querying
• Cleaned and transformed using SQL
• Connected to Power BI for data modeling and visualization