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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

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.