https://github.com/ljadhav25/sales-dashboard-with-excel

This repository provides a comprehensive analysis of sales and customer data to offer insights into various aspects of sales performance, customer behavior, and regional distribution. The analysis includes evaluations of total sales revenue, product categories, top-selling products, customer sales, regional performance, and profit margins.
https://github.com/ljadhav25/sales-dashboard-with-excel

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This repository provides a comprehensive analysis of sales and customer data to offer insights into various aspects of sales performance, customer behavior, and regional distribution. The analysis includes evaluations of total sales revenue, product categories, top-selling products, customer sales, regional performance, and profit margins.

• Host: GitHub
• URL: https://github.com/ljadhav25/sales-dashboard-with-excel
• Owner: LJadhav25
• Created: 2024-07-29T16:19:57.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-07-29T16:24:06.000Z (6 months ago)
• Last Synced: 2024-11-18T20:54:01.783Z (2 months ago)
• Size: 12.9 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Sales-Dashboard-with-Excel

This repository provides a comprehensive analysis of sales and customer data to offer insights into various aspects of sales performance, customer behavior, and regional distribution. The analysis includes evaluations of total sales revenue, product categories, top-selling products, customer sales, regional performance, and profit margins.

# Data Analysis Details

# Total Sales Revenue

Total Sales Revenue: Provides the aggregate revenue generated from all sales. This metric helps assess the overall financial performance of the business.

# Product Sales

Highest Sales Volume by Product Category: Identifies which product category contributes the most to sales volume, highlighting key areas of demand and focus.

Top 10 Best-Selling Products: Lists the top 10 products based on sales volume, offering insights into which individual products are the most popular among customers.

# Customer Analysis

Top 10 Customers by Sales Revenue: Shows the top 10 customers ranked by the total sales revenue they generate, providing insights into the most valuable customers.

Customer Distribution by Region or Country: Illustrates how customers are distributed across various regions or countries, offering a view of geographical sales performance.

# Regional Sales Performance

Countries Generating the Most Sales: Highlights the countries that contribute the most to sales revenue, indicating key markets.

Sales Performance Across Countries: Analyzes how sales performance varies across different countries, helping to identify regions with strong or weak performance.

# Profit Analysis

Gross Profit Margin for Each Product: Calculates the gross profit margin for each product, reflecting the profitability of individual products after accounting for the cost of goods sold.

# Time-Based Analysis

Monthly, Quarterly, and Yearly Sales Trends: Examines sales trends over different time periods, including monthly, quarterly, and yearly, to understand seasonal variations and long-term performance patterns.

# How to Use This Repository

Data Files: Review the data files located in the data/ directory for raw and processed data.

Analysis Scripts: Check the scripts/ directory for Python/R scripts used for data analysis.

Reports: Refer to the reports/ directory for generated reports and visualizations.

Visualization: View charts and graphs to interpret data trends and insights.

# Contribution

Feel free to contribute by submitting issues, suggestions, or pull requests. Your input is valuable for improving the analysis and expanding the insights provided.