{"id":21375241,"url":"https://github.com/hernangasca/ecommerce-project","last_synced_at":"2025-10-13T03:42:55.874Z","repository":{"id":264091475,"uuid":"892335235","full_name":"hernangasca/Ecommerce-Project","owner":"hernangasca","description":"This repository contains a data analysis and visualization project developed in Power BI for an e-commerce company. 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The purpose of the project is to create an interactive dashboard that provides key insights into Year-to-Date (YTD) sales and supports strategic decision-making.\n\n## Overview\n\n![image](https://github.com/user-attachments/assets/23f571eb-8072-469a-8a43-ba90466775ad)\n\n\n## 🚀 Project Features\n\n### Power BI Functionalities Used\n- **Data Integration:** Connected Power BI to MS SQL Server and flat files.\n- **Data Modeling:** Created relationships between three tables.\n- **Data Cleaning:** Used Power Query to prepare the data.\n- **Date Table:** Generated a date table for time-series analysis.\n- **Time Intelligence Functions:** Implemented DAX functions such as `TOTALYTD`, `SAMEPERIODLASTYEAR`, etc.\n- **Dynamic and Complex KPIs:** Developed customized metrics.\n- **Advanced DAX Queries:** Used functions like `CALCULATE`, `SUMX`, `FILTER`, and others.\n- **Conditional Formatting:** Added dynamic icons to highlight trends.\n- **Insights Generation:** Created charts and visuals for analytical insights.\n\n---\n\n## 📝 Problem Statement\n\nA U.S.-based e-commerce company requested the development of a dashboard to analyze YTD sales data and generate actionable insights. The client requirements included:\n\n1. **Main KPIs:**\n   - YTD Sales, YTD Profit, YTD Quantity Sold, and YTD Profit Margin.\n   - Year-over-Year (YoY) growth with trend visualizations using sparklines.\n2. **Category Analysis:**\n   - YTD Sales, PYTD Sales, and YoY growth by customer category with trend icons.\n3. **Regional Analysis:**\n   - Sales performance by state and region.\n   - Identify best- and worst-performing regions.\n4. **Product Analysis:**\n   - Top 5 and Bottom 5 products based on YTD Sales.\n5. **Shipping Analysis:**\n   - Sales percentages by shipping method.\n\n---\n\n## 📊 Screenshots\n\n### KPI Banner\n\n![image](https://github.com/user-attachments/assets/c9165e89-4f21-4803-9f34-469e47ae0716)\n\n### Sales by Category\n\n![image](https://github.com/user-attachments/assets/de6e5152-c3d6-416f-8da0-83bba33962a7)\n\n\n### Sales by Region\n![image](https://github.com/user-attachments/assets/7e68b6a3-216a-47a3-b715-23f699b981e8)\n\n\n### Top and Bottom Products\n![image](https://github.com/user-attachments/assets/c5aa118f-f8d0-4ea9-924e-87afb48552e7)\n\n---\n\n## 🛠️ Tools and Technologies\n\n- **Power BI:** For data visualization.\n- **Power Query:** For data cleaning and transformation.\n- **DAX (Data Analysis Expressions):** For creating measures and custom calculations.\n- **SQL:** For extracting data from an MS SQL Server database.\n\n---\n\n## 📂 Project Structure\n\n```plaintext\n├── Dataset/\n│   ├── sales_data.csv\n│   ├── regions.xlsx\n├── PowerBI_File/\n│   ├── Ecommerce_Dashboard.pbix\n├── README.md\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhernangasca%2Fecommerce-project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhernangasca%2Fecommerce-project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhernangasca%2Fecommerce-project/lists"}