Advanced SQL Data Warehouse & Business Analytics
تفاصيل العمل
Project Description
Developed a SQL-based data warehouse and business analytics project using a Superstore dataset to organize sales data, structure business information, and generate insights through advanced SQL queries.
The project focused on transforming raw sales data into a structured database using data warehouse concepts, dimensional modeling, and analytical queries to support business reporting and data-driven decision-making.
Key Features
Data Warehouse Design: Designed a structured database using a star schema to organize sales transactions and related business information.
Dimensional Modeling: Created fact and dimension tables, including customer, product, date, and sales-related data, with primary and foreign key relationships.
Data Integration: Loaded and organized raw Superstore data into a relational database for efficient querying and analysis.
Advanced SQL Queries: Applied JOINs, subqueries, Common Table Expressions (CTEs), CASE statements, and aggregate functions to analyze business performance.
Business KPI Analysis: Developed queries and views to calculate key performance indicators, including sales, profit, and other relevant business metrics.
Stored Procedures and Views: Used stored procedures and SQL views to organize reusable logic and simplify analytical reporting.
Data Analysis and Reporting: Generated insights into sales performance and business trends to support reporting and decision-making.
Tools & Technologies
Microsoft SQL Server
SQL Server Management Studio (SSMS)
Advanced SQL
Relational Database Design
Star Schema and Dimensional Modeling
Data Warehousing
Business Intelligence and Analytics
Project Objective
The objective was to build a structured analytical database that transforms raw transactional data into an organized and queryable data warehouse. The project demonstrates practical skills in SQL programming, database design, data modeling, business KPI analysis, and developing reusable solutions for business reporting.