This project presents SQL-based business data analysis using the Northwind relational database.
The solution focuses on relational querying, joins, aggregation operations, analytical reporting, and business-oriented data exploration using T-SQL and SQL Server.
- SQL query development using the Northwind database
- Relational database analysis
- Multi-table joins and relationship analysis
- Aggregation and grouping operations
- Business-oriented reporting
- Data calculations and conditional logic
- Query optimization fundamentals
- Analytical reporting workflows
The following relational schema presents the structure of the Northwind database used throughout the project.
The schema includes customers, orders, products, suppliers, categories, employees, and order details tables connected through relational keys.
The project analyzes:
- Customer order behavior
- Product sales performance
- Revenue-related calculations
- Order frequency and distribution
- Product category analysis
- Supplier and employee relationships
- Geographic customer distribution
- Business reporting scenarios
The project includes the following SQL operations:
The analysis uses:
- SELECT statements
- Conditional filtering
- Sorting and ordering
- Column selection
The project demonstrates:
- INNER JOIN operations
- Multi-table joins
- Relationship analysis between entities
- Foreign key-based querying
The solution includes:
- COUNT operations
- SUM calculations
- AVG calculations
- GROUP BY analysis
- HAVING clause filtering
- Business reporting queries
The project focuses on:
- Order analysis
- Revenue calculations
- Product performance analysis
- Customer segmentation scenarios
- Sales-related reporting
The project uses the Northwind sample database for SQL Server.
Northwind is a Microsoft sample relational database commonly used for SQL practice and business query analysis.
- SQL
- T-SQL
- Microsoft SQL Server
- SQL Server Management Studio (SSMS)
- Relational Databases
- Data Analysis
- Query Optimization
- Business Reporting
The goal of this project is to demonstrate practical SQL skills in relational database querying, business-oriented analysis, aggregation operations, and analytical reporting workflows.
The solution successfully demonstrates:
- Relational database querying
- Multi-table join operations
- SQL aggregation workflows
- Business data analysis
- Analytical reporting using SQL
- Structured query development
- Relational data interpretation
- Practical SQL problem-solving skills
Paulina Broda