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https://github.com/syedanimrafatima/ecommerce-store-sales-analysis-powerbi

The Sales Analysis Dashboard is designed to help an E-commerce Business to overview their Sales performance throughout the year. It includes a report and visualizations that cover sales performance, customer segmentation, product analysis, and more.
https://github.com/syedanimrafatima/ecommerce-store-sales-analysis-powerbi

business-intelligence csv dashboard data-analysis data-cleaning data-visualization excel powerbi sales-analysis-dashboard storytelling

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The Sales Analysis Dashboard is designed to help an E-commerce Business to overview their Sales performance throughout the year. It includes a report and visualizations that cover sales performance, customer segmentation, product analysis, and more.

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README 

        

# Sales Data Analysis



This repository contains a Power BI project that provides a comprehensive analysis of Monthly E-commerce Sales data. The dashboard allows users to explore key metrics, trends, and insights to make informed business decisions.



## Table of Contents

- Project Overview

- Features

- Data Sources

- Dashboard Walkthrough

- Installation

- Usage

- Contributing

- License



## Project Overview

The Sales Analysis Dashboard is designed to help an E-commerce Business to overview their Sales performance throughout the year. It includes a report and visualizations that cover sales performance, customer segmentation, product analysis, and more.



## Features

- **Sales Performance**: Track overall sales, growth trends, and performance against targets.

- **Customer Segmentation**: Analyze customer demographics, purchasing behavior, and profitability.

- **Product Analysis**: Identify top-selling products, product categories, and sub-categories insights.

- **Geographical Insights**: Visualize sales data by State and City.

- **Time-Based Analysis**: Explore sales trends over time, including Monthly and Quarterly patterns over the year.

- **Payment Metrics**: Identifying the distribution of Payment Methods across the Sales Percentage. 



## Data Sources

The dashboard is built using data from the following CSV file sources:



- **Details**: The Details table contains the data which includes Amount, Category, Order ID, Payment Mode, Profit, Quantity and Sub-Category. 

- **Orders**: The Orders table contains columns such as Order ID, Order Date, State, City and Customer Name. 



## Dashboard Walkthrough

### 1. Sales Overview

Displays total sales, total profit, average order value, profit margin and the need to improve sales based on specific region.



### 2. Top Products

Highlights the top-selling products and categories.

Provides insights into average order value and profit.



### 3. Customer Insights

Segments customers based on purchasing behavior.

Identifies high-value customers and their impact on revenue.



### 4. Geographical Distribution

Maps sales data by State and City to identify top-performing areas.

Analyzes regional trends and market penetration.



### 5. Monthly Sales Trends

Visualizes sales trends over time, highlighting peak periods.

Compares monthly performance across different years.

Also compares max revenue generated by top customers. 



## Usage

- Explore the interactive visuals to gain insights into sales performance.

- Use filters and slicers to focus on specific Quarterly time or States.

- Share insights with your team by exporting reports or sharing the dashboard via Power BI service.



## Contributing

Contributions are welcome! If you have any suggestions or feedbacks for improvements, feel free to submit a pull request or open an issue.