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sales-dashboard

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Sales Analysis Excel Project This project is focused on analyzing sales data using Microsoft Excel. It involves cleaning and preparing the data, creating pivot tables and charts, and building an interactive dashboard to uncover trends and insights. The dataset includes various customer details like age, income, marital status, and purchasing beh

  • Updated Aug 31, 2024

The primary objective of this project is to develop a comprehensive and visually appealing Power BI dashboard that analyzes the medicine sales data for the entire year of 2023 and 2022.

  • Updated Aug 17, 2024

The Supermarket Sales Dashboard offers a concise overview of sales performance, featuring key metrics and detailed analyses by product, category, and time period. Interactive filters enable data-driven decisions to improve profitability and efficiency.

  • Updated Jul 15, 2024

Aims to analyze the sales data of a coffee shop to gain insights into various key performance indicators (KPIs) and visualize the findings through interactive charts. By analyzing total sales, orders, quantity sold, and other metrics, stakeholders can make informed decisions to optimize business operations and improve profitability.

  • Updated Jul 5, 2024
  • Jupyter Notebook

Welcome to the Madhav Ecommerce Sales Dashboard project repository! This project aims to create an interactive dashboard to track and analyze online sales across India for Madhav Store. Using Power BI, we've developed a comprehensive solution that enables the owner of Madhav Store to gain valuable insights into their online sales performance.

  • Updated May 5, 2024

This project analyzes 5 years of sales data for various accounts, including wholesale distributors, online retailers, small businesses and medium businesses. The data includes sales figures by marketing channel, such as social media, coupons, catalogs, posters and more.

  • Updated Mar 14, 2024

This repository contains the code and data for analyzing pizza sales using SQL Server as the data store and Power BI for data visualization and analysis. Explore sales trends, customer preferences, and more to gain insights into pizza sales using this repository.

  • Updated Feb 6, 2024

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