https://github.com/nafisalawalidris/buybuy-e-commerce-company
The BuyBuy E-commerce Company repository is a comprehensive hub for the company's e-commerce platform. It includes source code, documentation, and data analysis insights, providing a data-driven approach to improve customer experience, drive revenue, and inform decision-making.
https://github.com/nafisalawalidris/buybuy-e-commerce-company
buybuy cleaning-data company customer-experience data data-analysis decision-making documentation e-commerce excel insights postgresql repository revenue source-code sql
Last synced: 3 months ago
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The BuyBuy E-commerce Company repository is a comprehensive hub for the company's e-commerce platform. It includes source code, documentation, and data analysis insights, providing a data-driven approach to improve customer experience, drive revenue, and inform decision-making.
- Host: GitHub
- URL: https://github.com/nafisalawalidris/buybuy-e-commerce-company
- Owner: nafisalawalidris
- Created: 2023-07-01T22:47:38.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2023-07-03T22:32:30.000Z (almost 2 years ago)
- Last Synced: 2025-01-23T07:12:18.067Z (4 months ago)
- Topics: buybuy, cleaning-data, company, customer-experience, data, data-analysis, decision-making, documentation, e-commerce, excel, insights, postgresql, repository, revenue, source-code, sql
- Homepage:
- Size: 9.34 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
BuyBuy E-commerce Company
Description
This repository contains data analysis and insights for the BuyBuy e-commerce company. It includes queries, charts, and a PDF report that provides detailed analysis of BuyBuy sales data.
Table of Contents
Overview
The analysis in this repository provides insights into BuyBuy's sales trends, revenue generation, customer age distribution, region-profit analysis, and product-revenue analysis. It helps guide BuyBuy's decision-making process for resource allocation and product strategy.
Installation
To run the analysis and view the results, follow these steps:
- Clone the repository:
git clone [repository URL] - Open the project in your preferred SQL environment
- Import the provided sales data into your database
- Execute the SQL queries to perform the analysis
- View the generated charts and PDF report for insights
Usage
The SQL queries and spreadsheet packages (Google Sheets/Microsoft Excel) provided in this repository can be used to perform the following tasks:
- Time-Profit Analysis
- Region-Profit Analysis
- Product-Revenue Analysis
Refer to the comments in the SQL code for each task to understand the steps involved.
Insights
The PDF report included in this repository summarizes the analysis and provides insights for BuyBuy's Board of Directors. It includes recommendations on resource allocation, regions to invest in, products to focus on, and strategies to address poor sales performance in specific regions.
Contributing
Contributions are welcome! If you would like to contribute to this project, follow these steps:
- Fork the repository
- Create a new branch:
git checkout -b my-feature-branch - Make your changes
- Commit your changes:
git commit -m 'Add some feature' - Push the branch:
git push origin my-feature-branch - Submit a pull request
License
This project is licensed under the MIT. Read the MIT file for more information.
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