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.