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https://github.com/mchavhan1998/customer-database-querying-and-analysis

This name reflects the core focus of the project on querying a database to retrieve and analyze customer details, including various SQL operations and functions.
https://github.com/mchavhan1998/customer-database-querying-and-analysis

large relational-databases sql sql-server

Last synced: 13 days ago
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This name reflects the core focus of the project on querying a database to retrieve and analyze customer details, including various SQL operations and functions.

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# πŸ’» Customer-Database-Querying-and-Analysis
This name reflects the core focus of the project on querying a database to retrieve and analyze customer details, including various SQL operations and functions.

## πŸ”­ Project Overview
This project involves querying a customer database to retrieve and analyze customer details, including names, phone numbers, email IDs, sales made in a particular month, increase in month-on-month sales, and total sales made to a particular customer.

## πŸ”ˆProblem Statement
The objective is to gain insights into customer data by executing various SQL queries. This involves downloading a database, restoring it on a server, and querying the database to extract detailed customer information and sales data.

## πŸ” Topics
- Table basics and data types
- Various SQL operators
- Various SQL functions

## SQL Queries Overview
### The provided SQL script includes queries to:
- Retrieve all details from the person table, including email ID, phone number, and phone number type.
- Retrieve sales order details made in May 2011.
- Calculate the total sales made in May 2011.
- Calculate the total sales made each month in 2011, ordered by increasing sales.
- Calculate the total sales made to a specific customer with the first name 'Gustavo' and last name 'Achong'.

## Getting Started
1. Download and Restore Database:
- Download the customer database and restore it on your SQL server.
2. Run SQL Queries:
- Execute the provided SQL queries to retrieve and analyze customer details and sales data.
3. Analyze Results:
- Use the results from the SQL queries to gain insights into customer information and sales performance.

## πŸ† Skills Demonstrated
- Data Analysis
- SQL
- Database Querying
- Data Aggregation

## License
This project is licensed under the MIT License.