https://github.com/faisal-khann/sales-dashboard
Here's the analyzed e-commerce sales data. I've created an interactive dashboard using Power BI. It is designed to provide insightful visualizations and analytics for sales data, helping stakeholders to make data-driven decisions..
https://github.com/faisal-khann/sales-dashboard
csv dashboard microsoftpowerbi pbix powerbi
Last synced: about 1 month ago
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Here's the analyzed e-commerce sales data. I've created an interactive dashboard using Power BI. It is designed to provide insightful visualizations and analytics for sales data, helping stakeholders to make data-driven decisions..
- Host: GitHub
- URL: https://github.com/faisal-khann/sales-dashboard
- Owner: Faisal-khann
- Created: 2024-05-15T11:59:41.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2024-08-20T18:25:33.000Z (8 months ago)
- Last Synced: 2025-01-29T03:57:53.663Z (3 months ago)
- Topics: csv, dashboard, microsoftpowerbi, pbix, powerbi
- Homepage:
- Size: 271 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Project Overview⬇️
The Sales_Dashboard project is a dynamic and interactive dashboard built using Power BI.
It is designed to provide insightful visualizations and analytics for sales data, helping stakeholders to make data-driven decisions.
## Key Features⬇️
* Interactive Visualizations: The dashboard includes various interactive charts, graphs, and tables that allow users to explore sales data in detail.
* Real-Time Data: The dashboard connects to live data sources, ensuring that the information displayed is always up-to-date.
* Drill-Down Capabilities: Users can drill down into specific regions, time periods, or product categories to gain deeper insights.
* Customizable Filters: Filters are available to customize the data view based on different parameters like date range, product category, and region.
* KPIs and Metrics: The dashboard highlights key performance indicators (KPIs) such as total sales, revenue, profit margins, and sales growth.
## Technologies Used⬇️
* Power BI: For building and designing the dashboard.
* Data Sources: CSV.
* DAX (Data Analysis Expressions): For creating custom metrics and calculations.
* M Language: Used for data transformation in Power Query Editor.
## How to Use⬇️
* Open the Dashboard: Launch the Power BI dashboard file ('SalesDashboard.pbix') in Power BI Desktop or Power BI Service.
* Navigate Through Pages: The dashboard is organized into multiple pages, each focusing on different aspects of sales data.
* Use Filters: Apply filters available on the dashboard to customize the data view.
* Drill Down: Click on interactive elements to drill down into specific details.
## Screenshot⬇️
Below are screenshots of final dashboard and dashboard for different states, representing the sales data for these states
* Final Dashboard⏬
* Delhi State's Dashboard⏬
* Goa State's Dashboard⏬
## Installation⬇️
To run the dashboard on your local machine, follow these steps:
* Install Power BI Desktop: If you don't have it installed, download and install Power BI Desktop from Microsoft's website.
* Clone the Repository: Clone this repository to your local machine using git clone https://github.com/Faisal-khann/SalesDashboard.
* Open the Project: Open the SalesDashboard.pbix file in Power BI Desktop.
* Connect Data Sources: Ensure that the data sources are connected properly, and refresh the data.
## Project Structure⬇️
Sales_Dashboard/
├── data/
│ └── [Your data files, if applicable]
├── Sales_Dashboard.pbix
└── README.md
## Future Enhancements⬇️
* Automation: Automating the data refresh process for real-time updates.
* Additional KPIs: Adding more metrics and KPIs for a comprehensive analysis.
* Integration: Integrating the dashboard with other BI tools or platforms.