https://github.com/vasanthakumar70/customer_order_analysis-sql_server
This project is a comprehensive data analysis of customer orders using SQL Server. Leveraging SQL querying, data manipulation, and analysis, this project explores customer behavior, purchase patterns, and product insights. The dataset comprises customer information, product details, and order history.
https://github.com/vasanthakumar70/customer_order_analysis-sql_server
Last synced: 5 months ago
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This project is a comprehensive data analysis of customer orders using SQL Server. Leveraging SQL querying, data manipulation, and analysis, this project explores customer behavior, purchase patterns, and product insights. The dataset comprises customer information, product details, and order history.
- Host: GitHub
- URL: https://github.com/vasanthakumar70/customer_order_analysis-sql_server
- Owner: vasanthakumar70
- Created: 2023-08-22T08:44:39.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2023-08-22T09:40:56.000Z (almost 3 years ago)
- Last Synced: 2025-08-29T06:22:06.194Z (10 months ago)
- Size: 90.8 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# customer_order_analysis-SQL_server
This project is a comprehensive data analysis of customer orders using SQL Server.
Leveraging SQL querying, data manipulation, and analysis, this project explores customer behavior, purchase patterns, and product insights.
The dataset comprises customer information, product details, and order history.
## Dataset Information
The dataset used in this project has been created by ChatGPT and simulates customer orders. It includes information about customers, products, and order details.
The dataset was designed to showcase various SQL querying and data analysis techniques.
## Project Highlights
- Explored customer behavior, purchase patterns, and product insights through SQL queries.
- Calculated important metrics such as Customer Lifetime Value (CLTV) and average order value.
- Created visualizations to illustrate key findings and insights.