Crandi

E Commerce Sales Analysis Using Ms Excel Github

Leo Migdal
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e commerce sales analysis using ms excel github

Project Overview: This project involves a comprehensive analysis of e-commerce sales data using Microsoft Excel. The main objectives were data cleaning, data processing, data analysis, data visualization, and creating a dynamic dashboard to present insights effectively. In this project, I have analyzed a dataset containing e-commerce sales data to derive meaningful insights and patterns. The analysis includes various stages starting from data cleaning to creating an interactive dashboard for better data interpretation. 1 Removed duplicates and irrelevant data. 2 Handled missing values by imputation or deletion as required.

3 Corrected data types for accurate analysis. The data shows the sales of an electronics store, you can see the raw data in this Link As you can see in the image below, the format of the data was not appropriate... The activities performed were the following: Most of this analysis was done using Excel pivot tables and visualizations considering the target questions. Finally we obtained a dashboard with 2 sheets showing the sales in a general way and the other one showing the performance of these at different times of the day and weeks. You can see the dashboards below and you can access the document by clicking on this Link

Hosted on GitHub Pages — Theme by orderedlist An Excel dashboard for analyzing e-commerce sales data, providing insights into sales trends, customer behavior, and product performance. Key metrics like total sales, top-selling products, and customer demographics are visualized for data-driven decisions. Interactive filters allow users to explore specific regions, categories, and timeframes. E-commerce is fast gaining ground as an accepted and used business paradigm. More and more business houses are implementing web sites providing functionality for performing commercial transactions over the web.

It is reasonable to say that the process of shopping on the web is becoming commonplace. An Online E-Commerce Company wants to design a Sales dashboard to analyze the sales based on various regions. The company wants to add user control for product segment, so users can select a segment and can see the trend month-wise and product-wise accordingly. Using MS Excel's Business Intelligence features to analyse sales data. This Best Practice includes 1 Excel file, 1 Video Ashish Mathur offers you this Best Practice for free!

The project presents a comprehensive analysis of an e-commerce business, utilizing Excel and Power BI tools. Key performance metrics and trends are analyzed and displayed using pivot tables, charts, and 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. The aim of this project is to provide a clear and actionable understanding of the e-commerce business and its various components, helping to identify areas for improvement and growth. This Excel project showcases the key performance metrics and trends of an E-commerce business, utilizing Excel pivot tables and charts and Power BI dashboard.

The data analysis aims to identify areas of improvement, optimize operations, and enhance business decision making. (1) What is the historical trend of total sales and profit for each year and what is the predicted total sales and profit for the upcoming year? (2) Can you explain the reasons behind the projected downward trend in sales and profit, and how has data analysis been utilized to determine these factors? (3) How does shipment time impact sales and customer satisfaction for different ship modes, and what optimization strategies can be suggested to improve shipment time while maintaining cost-effectiveness?

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Project Overview: This project involves a comprehensive analysis of e-commerce sales data using Microsoft Excel. The main objectives were data cleaning, data processing, data analysis, data visualization, and creating a dynamic dashboard to present insights effectively. In this project, I have analyzed a dataset containing e-commerce sales data to derive meaningful insights and patterns. The analy...

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3 Corrected data types for accurate analysis. The data shows the sales of an electronics store, you can see the raw data in this Link As you can see in the image below, the format of the data was not appropriate... The activities performed were the following: Most of this analysis was done using Excel pivot tables and visualizations considering the target questions. Finally we obtained a dashboard...

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