An open API service indexing awesome lists of open source software.

https://github.com/vijaykumar1303/sales-data-analysis-and-dashboard-development

To analyze sales data to uncover insights into sales performance, trends, and patterns, and to develop an interactive dashboard that provides a comprehensive view of sales metrics and KPIs.
https://github.com/vijaykumar1303/sales-data-analysis-and-dashboard-development

data dataanalysis datacleaning datavisualisation dax-query powerbi powerquery sql sqldataanalysis

Last synced: 2 months ago
JSON representation

To analyze sales data to uncover insights into sales performance, trends, and patterns, and to develop an interactive dashboard that provides a comprehensive view of sales metrics and KPIs.

Awesome Lists containing this project

README

        

# Sales Data Analysis and Dashboard Development

## 📌 Overview
The **Sales Data Analysis and Dashboard Development** project focuses on analyzing sales data to gain insights into business performance. The project includes SQL-based data processing, Power BI visualizations, and key performance metrics to support data-driven decision-making.

## 🛠️ Features
- Interactive Power BI dashboard for visualizing sales trends
- SQL-based data processing and transformation
- Key insights into sales performance, profitability, and revenue trends
- Data-driven decision-making through analytics

## 📂 Project Structure
```
Sales-Data-Analysis-and-Dashboard-Development/
│-- Sales-Data-Analysis.pbix # Power BI report file
│-- Sales-key-insight.png # Image of key insights from the dashboard
│-- sales-performance-insight.png # Visual representation of sales performance
│-- sales-profit-analysis.png # Profitability insights visualization
│-- db_dump_version_2.sql # SQL database dump for sales data
│-- README.md # Project documentation
```

## 🚀 Installation & Setup
### Prerequisites
Ensure you have the following tools installed:
- **Microsoft Power BI Desktop** – For viewing and modifying the dashboard
- **SQL Database (MySQL/PostgreSQL/SQL Server)** – To restore and query sales data

### Steps to Run the Project
1. **Restore the Database**:
- Use the provided `db_dump_version_2.sql` file to restore the sales database.
- Example command for MySQL:
```bash
mysql -u username -p database_name < db_dump_version_2.sql
```

2. **Open the Power BI Report**:
- Load the `Sales-Data-Analysis.pbix` file in **Microsoft Power BI Desktop**.
- Ensure database connections are properly configured.

## 📊 Key Insights
- **Sales Trends:** Identify monthly/quarterly/yearly sales variations.
- **Profit Analysis:** Compare revenue vs. cost to analyze profit margins.
- **Performance Metrics:** Understand high-performing products, regions, and customers.
- **Visual Dashboards:** Easily interpret data using graphs, charts, and tables.

## 🔍 Technologies Used
- **SQL** – Data extraction and transformation
- **Power BI** – Data visualization and interactive reporting
- **Excel/CSV** – Data preprocessing (if applicable)

## 📌 Future Improvements
- Automating data updates in the Power BI report
- Enhancing dashboard interactivity with advanced filtering options
- Integrating predictive analytics for forecasting sales trends

## 📜 License
This project is open-source and available under the [MIT License](LICENSE).