/Ecommerce-Sales-Dashboard-in-Power-BI

This project aims to provide a clear and actionable understanding of the e-commerce business and its various components, helping identify areas for improvement and growth.

ECOMMERCE-SALES-DASHBOARD-IN-POWER-BI

The project presents a comprehensive analysis of an e-commerce business, utilizing Power BI tools. Key performance metrics and trends are analyzed and displayed using a Power BI dashboard. The insights gained from this analysis can aid in informed decision-making and drive business growth. The project also includes forecasting techniques to predict future trends and performance.

Aim :- This project aims to provide a clear and actionable understanding of the e-commerce business and its various components, helping identify areas for improvement and growth.

Installation

To run this project on your machine you need to install Microsoft Power Bi.

Tools

  • Microsoft Power BI
  • Power Query
  • Dax Query

Badges

Power Bi

Power BI Dashboard Visualization

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The E-commerce business Power BI Dashboard visualizes key performance indicators(KPI) including Total Profit, Sales, Total Quantity, No. of Orders, Profit Margin%. It showcases the trend of Sales and Profit for each month, the Category-wise Profits and Sales, Sales by States, top customers and Category-wise Sales%. Additionally, the top 5 sub-categories by Sales are also displayed. The dashboard includes filters like years, regions, and segments.

E-Commerce Business Performance Analysis

This project showcases the key performance metrics and trends of an E-commerce business, utilizing a Power BI dashboard. The data analysis aims to identify areas of improvement, optimize operations, and enhance business decision-making.

Project Learnings

  • Created an interactive dashboard to track and analyze online sales data.
  • Used complex parameters to drill down in worksheet and customization using filters and slicers.
  • Created connections, joined new tables, did calculations to manipulate data, and enabled user-driven parameters for visualization.
  • Used different types of customized visualization (bar chart, pie chart, donut chart, clustered bar chart, scatter chart, line chart, area chart, map, slicers, etc)

Conclusion

By utilizing Power BI's capabilities, our project equips stakeholders with a dynamic and interactive platform to analyze sales data. The insights gained drive informed decisions and foster improved sales strategies.