- PowerPoint
- Excel
This project showcases a comprehensive Sales Dashboard designed to provide insightful visualizations and data-driven insights into sales performance across different time frames and categories. The dashboard is inspired by a YouTube tutorial and leverages the combined power of PowerPoint and Excel to create a visually appealing and interactive experience.
- Step 1: Design an aesthetically pleasing background in PowerPoint, serving as the foundation for the dashboard.
- Step 2: Import the PowerPoint background into Excel to set the stage for dashboard creation.
- Step 3: Customize the background color within Excel as needed for adaptability.
- Step 4: Construct the dashboard in Excel, including various visualizations and incorporating interactive elements like slicers.
- Daily, Monthly, and Yearly Sales Analysis
- Payment Mode Analysis
- Category-wise Sales Analysis
- Step 5: Add slicers to the dashboard for dynamic data filtering and enhanced interactivity.
- β±οΈ Time-Based Analysis: Detailed analysis of sales data on a daily, monthly, and yearly basis.
- π³ Payment Mode Insights: Visualizing sales data based on payment modes.
- π¦ Product Category Performance: Highlighting sales performance across various product categories.
- ποΈ Interactive Slicers: Real-time data filtering and exploration.
- π¨ Dynamic Background Customization: Ability to change the background color within Excel for flexibility and customization.
- PowerPoint: For designing the dashboard background.
- Excel: For data manipulation, visualization, and creating interactive elements.
This Sales Dashboard Project demonstrates the seamless integration of PowerPoint and Excel to create a powerful tool for sales analysis. By leveraging the strengths of both applications, the project delivers a visually appealing and highly functional dashboard that provides actionable insights into sales performance while offering customization options to suit various presentation needs.
Get the dataset used in this project here: Download Dataset
Check out the More on GitHub: Repository
β¨ Every data point is a stepping stone to a brighter insight. β¨
Β Β π Keep analyzing, keep discovering! π