Crandi

Github Saranggami E Commerce Sales Analysis Excel Powerbi Llm Context

Leo Migdal
-
github saranggami e commerce sales analysis excel powerbi llm context

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? There was an error while loading. Please reload this page.

🔭 I’m currently working on Python, EDA, ML Projects, NLP 🌱 I’m currently learning Machine Learning, Deep Learning 👨‍💻 All of my projects are available at https://github.com/SarangGami_8 💼 My Personal Portfolio Website https://MyPortfolio.com/SarangGami 📄 Know about my experiences https://www.linkedin.com/in/sarang-gami-8 There was an error while loading.

Please reload this page. There was an error while loading. Please reload this page. This project analyzes sales data from an e-commerce company to uncover insights, identify trends, and deliver interactive dashboards using Excel and Power BI. The analysis uses a dataset containing 5,000 e-commerce sales transactions with the following structure: Ecommerce_Sales_Analysis/ ├── data/ │ └── ecommerce_sales_data.csv ├── excel/ │ ├── ecommerce_analysis.xlsx │ └── README.md ├── powerbi/ │ ├── ecommerce_dashboard.pbix │ └── README.md ├── reports/ │ ├── excel_dashboard.png │ ├── powerbi_dashboard.png │ └── insights_summary.pdf └──...

This project analyzes e-commerce sales data using Python, Excel, and Power BI. The main objective is to gain insights into sales trends, customer behavior, and product performance through data visualization and statistical analysis. Product Performance: Classic Cars are the most popular, making up 39% of total sales. Seasonal Trends: Sales increase significantly during the holiday season (Q4). Regional Distribution: North America and Europe are the leading markets. Feel free to open issues and submit pull requests.

For major changes, please open a discussion first. E-commerce Sales Analysis using Power BI, SQL,Excel This project analyzes Year-to-Date (YTD) Ecommerce Sales across categories, products, regions, and shipping types. Using Power BI, the dashboard provides insights into revenue, profit, and sales performance to support data-driven decision-making. Office Supplies: $6.92M → highest sales but slight YoY decline (-0.01). Furniture: $2.52M → stable with small positive growth.

Technology: $2.10M → slight YoY decline.

People Also Search

The Project Presents A Comprehensive Analysis Of An E-commerce Business,

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...

The Data Analysis Aims To Identify Areas Of Improvement, Optimize

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 determi...

🔭 I’m Currently Working On Python, EDA, ML Projects, NLP

🔭 I’m currently working on Python, EDA, ML Projects, NLP 🌱 I’m currently learning Machine Learning, Deep Learning 👨‍💻 All of my projects are available at https://github.com/SarangGami_8 💼 My Personal Portfolio Website https://MyPortfolio.com/SarangGami 📄 Know about my experiences https://www.linkedin.com/in/sarang-gami-8 There was an error while loading.

Please Reload This Page. There Was An Error While Loading.

Please reload this page. There was an error while loading. Please reload this page. This project analyzes sales data from an e-commerce company to uncover insights, identify trends, and deliver interactive dashboards using Excel and Power BI. The analysis uses a dataset containing 5,000 e-commerce sales transactions with the following structure: Ecommerce_Sales_Analysis/ ├── data/ │ └── ecommerce_...

This Project Analyzes E-commerce Sales Data Using Python, Excel, And

This project analyzes e-commerce sales data using Python, Excel, and Power BI. The main objective is to gain insights into sales trends, customer behavior, and product performance through data visualization and statistical analysis. Product Performance: Classic Cars are the most popular, making up 39% of total sales. Seasonal Trends: Sales increase significantly during the holiday season (Q4). Reg...