https://github.com/praveendinesha/sales-insights-analysis_e-commerce

Empower decision-makers with an interactive Power BI dashboard showcasing e-commerce performance metrics and trends. Analyze sales data, forecast future trends, and drive informed strategies for business growth.
https://github.com/praveendinesha/sales-insights-analysis_e-commerce

business-intelligence data-visualization dax dax-expression dax-query decision-making-tools e-commerce-analytics power-bi-dashboard power-query predictive-analytics sales-analysis sales-forecasting

Last synced: 22 days ago
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Empower decision-makers with an interactive Power BI dashboard showcasing e-commerce performance metrics and trends. Analyze sales data, forecast future trends, and drive informed strategies for business growth.

• Host: GitHub
• URL: https://github.com/praveendinesha/sales-insights-analysis_e-commerce
• Owner: Praveendinesha
• Created: 2024-01-05T19:21:09.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2024-01-08T18:02:54.000Z (12 months ago)
• Last Synced: 2024-01-09T18:50:26.604Z (12 months ago)
• Topics: business-intelligence, data-visualization, dax, dax-expression, dax-query, decision-making-tools, e-commerce-analytics, power-bi-dashboard, power-query, predictive-analytics, sales-analysis, sales-forecasting
• Homepage:
• Size: 10.2 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# **E-Commerce Sales Insights Analysis By POWERBI**

## Overview

This project offers an in-depth analysis of an e-commerce enterprise leveraging **Power BI tools**. Key business metrics and trends are visualized through a comprehensive dashboard. The insights derived facilitate data-driven decision-making, aiding business growth. The project incorporates forecasting techniques for predictive analysis.

## Aim

The primary goal is to provide actionable insights into the e-commerce landscape, pinpointing areas for enhancement and growth through comprehensive analysis.

## Installation

To run this project, ensure you have **Microsoft Power BI** installed on your system.

## Tools Utilized

* Microsoft Power BI

* Power Query

* DAX Query

## Dashboard

![Ecommerce_Sales_Insights_page-0001](https://github.com/Praveendinesha/Sales-Insights-Analysis/assets/142248403/f5a42c27-1638-49cb-9ee0-3521b29bc9c1)

## Dashboard Insights

**Key Performance Indicators (KPIs):** Total Profit, Total Sales, Total Quantity, Profit Margin%

**Monthly Trends:** Sales and Profit

**Category-wise Analysis:** Profits, Sales, and Sales%

**Sales by Geography:** States and Regions

**Top & Bottom 5 Products Analysis**

**Regoinal Sales Analysis**

## Business Performance Analysis

The project aims to highlight crucial business metrics and trends via a Power BI dashboard, identifying areas for optimization and informed decision-making.

## Project Learnings

* Creation of interactive dashboards for online sales data analysis

* Utilization of complex parameters for drill-down analysis and filter customization

* Data manipulation techniques: **connections, table joins, calculations, and user-driven parameters for visualization**

* Various visualization types used: **bar chart, pie chart, donut chart, clustered bar chart, scatter chart, line chart, area chart, map, slicers, etc.**

## Conclusion

This project harnesses Power BI's capabilities to empower stakeholders with a dynamic platform for sales data analysis. The derived insights lead to informed decisions and refined sales strategies.