AMAZON MONTHLY SALES REPORT USING POWER BI
This project is a data visualization and analytics solution developed using Microsoft Power BI.The primary objective of this project is to provide an interactive and insightful overview of monthly sales performance on the Amazon e-commerce platform.The project utilizes historical sales data, including key metrics such as order volume, revenue, profit margins, product categories, customer segments, and regional distribution.Through the use of Power BI's robust visualization tools, the report presents dashboards that enable users to monitor sales trends, identify top-selling products, analyze customer purchasing behavior, and track regional performance. I. INTRODUCTIONThe Amazon Monthly Sales Report project is designed to efficiently manage, analyse, and present comprehensive sales data through the use of Microsoft Power BI, a leading business intelligence and data visualization platform.This project focuses on converting large volumes of raw, unstructured sales data into meaningful insights by creating interactive, dynamic, and visually appealing dashboards.These dashboards provide a clear overview of key performance indicators (KPIs) such as total sales, revenue trends, top-selling products, regional performance, customer behaviour, and return rates.By utilizing Power BI's powerful features like data modelling, DAX functions, and drill-down capabilities, the project empowers stakeholders-including sales teams, product managers, and business executives-to monitor sales performance in real-time, identify growth opportunities, and evaluate the success of marketing strategies or product launches.Ultimately, this project enhances decision-making by providing a centralized, intuitive platform that supports data-driven insights and strategic planning for continued growth in Amazon's competitive e-commerce environment.
Publication Details
- Published
- 2025-09-24
- DOI
- https://doi.org/10.56726/irjmets82910
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00