This project offers a comprehensive analysis of Walmart Superstore's sales and profitability, providing actionable insights for strategic decision-making and operational optimization. The dynamic dashboard, designed in Microsoft Excel, visualizes key performance indicators (KPIs) and analyzes sales and profitability across various dimensions.
-
Identifying KPIs with Sparklines: Utilize Sparklines to visually represent crucial KPIs like total sales revenue, profit margin, sales growth rate, and average transaction value, offering quick insights into performance trends.
-
Segmentation Analysis: Analyze sales and profitability data by customer segments, product categories, markets, and regions to identify trends and opportunities for optimization.
-
Top-performing & Underperforming Categories: Pinpoint top-performing product categories driving revenue and profitability, while identifying areas of underperformance for targeted improvement efforts.
-
Geographic Distribution of Sales & Market Share: Visualize sales and market share distribution across different regions to identify growth opportunities and expansion potential.
-
Sub-category Contribution Analysis: Evaluate the contribution of various sub-categories to overall sales to understand product preferences and optimize inventory management and marketing strategies.
-
Market Share Evaluation by Region: Assess market share by region to inform resource allocation, expansion strategies, and market penetration efforts.
-
Category & Sub-category Wise Metrics: Generate detailed insights into performance at a granular level, enabling targeted actions for improvement.
-
Download the Excel File:
- Click on the "Code" button on the GitHub repository.
- Select "Download ZIP" to download the entire project.
-
Open the Excel File:
- Extract the downloaded ZIP file.
- Open the Excel file in Microsoft Excel.
-
Explore the Dashboard:
- Navigate through different sheets and tabs to access various charts and analyses.
-
Interact with Charts:
- Hover over data points to view details.
- Adjust filters or parameters to customize your analysis.
Explore the complete dashboard by following the usage instructions provided above.
For any inquiries or collaboration opportunities, please feel free to reach out via LinkedIn. Your feedback and suggestions are highly appreciated.