SQL Server T-SQL SSMS

AdventureWorks Sales Analysis Using SQL

Performed SQL-based exploratory sales analysis using the AdventureWorks database to uncover revenue trends, identify top-performing products, analyze regional sales performance, and apply advanced SQL techniques including joins, aggregations, and window functions.

SQL Analysis Overview

Project Highlights

Revenue Analysis

Performed sales revenue analysis using aggregate SQL functions to evaluate overall business performance across the AdventureWorks sales dataset.

Product Performance

Identified top-performing products using joins, grouping, and revenue aggregation techniques to analyze product-level sales contribution.

Regional Sales Analysis

Analyzed territory-level sales performance to uncover regional business trends and compare revenue generation across different sales territories.

Advanced SQL Techniques

Applied advanced SQL concepts including joins, aggregations, GROUP BY operations, ORDER BY sorting, and window functions such as RANK() for analytical reporting.

Dataset Information

This project utilizes the Microsoft AdventureWorks2012 sample database containing realistic sales, customer, product, and territory business data for SQL analysis and reporting practice.