https://github.com/subrata3841/blinkit-sales-analysis
This Power BI dashboard provides dynamic insights into Blinkit's sales data, helping businesses understand key performance metrics, customer preferences, and sales trends. Designed for data-driven decision-making, the dashboard leverages interactive visualizations, filters, and KPI indicators to uncover valuable business insights
https://github.com/subrata3841/blinkit-sales-analysis
blinkitdashboard businessintelligence dashboard datavisualization powerbi
Last synced: 4 months ago
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This Power BI dashboard provides dynamic insights into Blinkit's sales data, helping businesses understand key performance metrics, customer preferences, and sales trends. Designed for data-driven decision-making, the dashboard leverages interactive visualizations, filters, and KPI indicators to uncover valuable business insights
- Host: GitHub
- URL: https://github.com/subrata3841/blinkit-sales-analysis
- Owner: Subrata3841
- License: mit
- Created: 2025-04-04T14:04:25.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-04-17T19:17:26.000Z (6 months ago)
- Last Synced: 2025-05-19T05:09:29.993Z (5 months ago)
- Topics: blinkitdashboard, businessintelligence, dashboard, datavisualization, powerbi
- Homepage:
- Size: 920 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 📊 Blinkit Sales Analysis - Power BI Dashboard
## 📝 Overview
The **Blinkit Sales Analysis Dashboard** is an interactive **Power BI project** designed to analyze sales trends, customer ratings, and store performance. It provides a **data-driven approach** to understanding business growth, product sales, and customer preferences.
This dashboard is built using **Power BI Desktop** and integrates **Excel datasets** to create meaningful visualizations. It includes **dynamic filters, KPI cards, and interactive charts** to provide insights into **sales performance, item categories, outlet locations, and customer behavior**.
---
## 🚀 Features
✅ **Interactive Dashboard** - Users can filter and explore data dynamically.
✅ **Key Performance Indicators (KPIs)** - Total Sales, Average Sales, Number of Items Sold, and Customer Ratings.
✅ **Sales Analysis** - View revenue trends, outlet performance, and sales by product type.
✅ **Data Cleaning & Transformation** - Uses **Power Query Editor** for data validation and transformation.
✅ **Navigation Enhancements** - Includes **Home & Refresh** buttons for easy navigation.
✅ **Downloadable Reports** - Users can export sales reports in **Excel or PDF formats**.
✅ **Dynamic Visualizations**:
- 📊 **Sales Trends Over Time** (Line & Bar Charts)
- 🛍️ **Item Category Analysis** (Donut & Stacked Bar Charts)
- 🏬 **Outlet Performance by Size & Type**
- 🌍 **Geographical Sales Distribution**
---
## 📂 Dataset Information
The dashboard is based on an **Excel dataset** with the following key data fields:
- **Sales Data**: Item names, transaction details, outlet information.
- **Outlet Information**: Location, store type, establishment year.
- **Item Details**: Categories, fat content, pricing, and average customer ratings.
---
## 🛠️ Installation & Setup
### **1️⃣ Prerequisites**
Before using this project, ensure you have:
- **Power BI Desktop** (Download from [Microsoft Power BI](https://powerbi.microsoft.com/))
- **Excel Dataset** (available in this repository)
### **2️⃣ Clone the Repository**
Clone this GitHub repository to your local machine:
```sh
git clone https://github.com/your-username/blinkit-powerbi-dashboard.git
```
### **3️⃣ Open Power BI and Load Data**
1. **Launch Power BI Desktop**
2. **Import Dataset**:
- Navigate to **Home > Get Data > Excel**
- Select the dataset file and load it into Power BI
3. **Apply Data Transformations** using Power Query if necessary
4. **Customize Visuals & Filters**
5. **Save and Publish the Dashboard**:
- Export as **PDF or Power BI file**
- Share via **Power BI Service** for collaboration
---
## 🎯 How to Use the Dashboard
🔹 **Home Button** - Click to return to the **main dashboard view**.
🔹 **Refresh Button** - Updates data automatically when new records are added.
---
## 🛠️ Future Enhancements
📌 **Live Data Integration** - Connect to a **SQL database** for real-time updates.
📌 **Advanced Analytics** - Implement **forecasting models** for sales predictions.
📌 **Customizable Reports** - Allow users to **generate their own reports** dynamically.
📌 **Mobile Optimization** - Improve compatibility for **Power BI Mobile App**.
---
## 📸 Screenshots
---
## 🤝 Contributing
Contributions are welcome! If you have suggestions or find issues, feel free to submit a **pull request**.
---
## 📞 Contact
**Author**: Subrata Mandal
🔗 **GitHub**: [Subrata3841](https://github.com/Subrata3841)
---
## 📜 License
This project is licensed under the **MIT License**. Feel free to use, modify, and distribute it.