salesanalysis
There are 2 repositories under salesanalysis topic.
HannahIgboke / Maven-Toys---Sales-performance-analysis.
Maven Toys, a toy company is looking to expand their business with new stores. This is a sales performance analysis focused on analyzing interesting patterns and trends in their data to help them make informed decisions.
ShrishtiHore / Target_Brazil_Sales_Analysis
Target is one of the world’s most recognized brands and one of America’s leading retailers.This business case has information of 100k orders from 2016 to 2018 made at Target in Brazil. Its features allows viewing an order from multiple dimensions.
Language:Jupyter Notebook 4M0hamedIbrahim1 / Sales-Data-Analysis
Welcome to my GitHub repository! This repository contains the code and analysis for Sales Data that contains purchase on a products . Feel free to explore the code, visualizations, and insights.
Language:Jupyter Notebook 3Successful ecommerce businesses need to optimize every stage of the customer journey, from first touch to purchase. This ecommerce dashboard is a curated set of metrics, KPIs and other data that’s designed to highlight, in the clearest possible way, trends, anomalies and information related to an online store that regularly warrants attention.
user-saddam123 / Sales-Analysis-Dashboard-MeriSKILL-Task-Two
As part of my MeriSkill virtual internship, the "Sales Data Analysis" project aims to analyze extensive sales data to uncover valuable insights that can drive business decisions.
This project aims to provide insights into various aspects of the business, such as sales performance, item types, outlet locations, and customer preferences.
akarshankapoor7 / Comprehensive-ML-Project-on-Sales-Forcasting-using-Facebook-Prophet-
A comprehensive machine learning project using Facebook's Prophet to forecast future sales. The model utilized historical data and effectively accounted for various factors, including seasonality effects, demand fluctuations, holiday impacts, promotional activities, and competitive influences.
Language:Jupyter Notebook 1cperazza / RFM_Segmentation
This is a basic workflow with CrewAI agents working with sales transactions to draw business insights and marketing recommendations. The agents will work on everything from the execution plan to the business insights report. It works with local LLM via Ollama (I'm using llama3:8B but you can easily change it).
Language:Python 1- Language:Jupyter Notebook 1
freevs / Food_Sales_Data_Analysis
In this project, I have used Python & Tableau to analyse, visualize and answer business questions on Product Sales and Customer Behaviour Analysis
Language:Jupyter Notebook 1gulshang7 / ATLIQ_Sales_Insight_Data_Analysis_using_SQL_and_Tableau
Sales Insights - A Data Analysis Project performed on Tableau & SQL Topics
- Sales-Analysis-Template-EDA
Kianoush-h / Sales-Analysis-Template-EDA
Analyze sales trends over time, discover peak days, and identify top-selling products driving business revenue. Perfect for EDA enthusiasts and coffee connoisseurs. ☕📈
Language:Python 1 mchenryspagg / Analysis-of-Car-Repair-Shop-Operations
This project presents a comprehensive data analysis of a car repair shop's operations, utilizing an extended dataset of sales receipts.
Language:Jupyter Notebook 1This project involves creating a dimensional data model using MySQL Workbench for a car repair shop’s operations in western Canada by examining a sample invoice,
momen-said / client-BBB-sales-data-analysis
cleaning and analyzing sales data to show themain insights and metrics that can help the managers to take their decision using excel and power BI
Neevigasri / RETAIL_SALES_ANALYSIS
This project sets up a retail sales database, cleans data by removing null values, and performs exploratory data analysis (EDA) to identify trends. SQL is used for business analysis, answering key questions and deriving insights for data-driven decision-making.
PankajSingh1108 / Retail-Sales-Analysis-Using-MS-SQL-Server
Analyzed retail sales data using MS SQL Server to uncover trends, optimize performance, and provide actionable business insights.
Language:TSQL 1PharateSwapnil / Brazil-E-Commerce-Sales
• Identified Sales Trends Across Different States Over The Years. Analyzed The Different Metrics Like Sales, Customer Acquisitions, Total no. Of Orders For Each Year. • Extract Useful Data using SQL and Created Dashboard using Excel. • It Helps To Create Sales Strategy Across Different States in the Future. • Techstack : Excel | SQL | Power Point
rizz1406 / My-Galaxy-Store-Sales-Analysis
Analyzing the sales of a store called "My Galaxy Store"
Power BI dashboard analyzing superstore sales trends and forecasting future sales
- Jenny_Sales-EDA-ML-models
SadeTosin / Jenny_Sales-EDA-ML-models
This repository contain an EDA and Machine Learning models to predict the sales of a mobile phone distributor company.
Language:Jupyter Notebook 1 - Product-Sales-Analysis-with-Power-BI
shreeramdrao / Exploratory-Data-Analysis-On-Sales
Dive into the rhythm of sales data, where numbers dance and charts sing stories. Uncover the hidden melodies of trends, patterns, and outliers, orchestrating a symphony of insights for strategic harmony in business decisions. Let data be your muse, and analysis your art, as you navigate the colorful landscapes of sales exploration.
Language:Jupyter Notebook 1SRIDHAR-BASKARAN / Sales-Analysis-SQL-PowerBI
The Sales Analysis online tool is a powerful solution designed to provide comprehensive insights and analytics for sales teams and business leaders.
vanshtanwarr / Amazon-Sales-Analysis
The objective is to perform a comprehensive analysis of the provided Amazon order data and extract actionable insights.
wburlat / Sales_analysis
A report summarizing the findings of the sales analysis and visualizations created using Tableau
Language:Jupyter Notebook 1DirtyMonkey19 / Black_Friday_Sales_Prediction
In this model we have tried to analyse sales of ABC limited, its basically a part of hackathon that our peers tried to compete in. In this project we have tried our best to get the lowest RMSE as possible and have implemented the XGBoost model. Rest of it is explained in the ReadMe file or code.
Language:Jupyter Notebook 0fasalmhd14 / SQL-and-Power-BI---Ad-hoc-report---Sales-and-Product-Insights
A report generated through SQL and Power BI to answer a few ad hoc questions requested by the top management of a Multinational Hardware Company.
0sanmiakintayo / Sales-Performance-Analysis
A detailed analysis which provided a comprehensive view of sales performance over a two-year period. This is used to make decisions to drive growth, enhance profitability, and better understand customers’ behaviour.
0shivani0126 / Adventure_Works_Data_Analysis
Data Analysis of Bicycle Manufacturing Company Using Python, SQL and Power BI. The objective of this project is to create an end-to-end sales analytic report based on AdventureWorks database.
Language:Python 0Jatin-Mehra119 / Sales-Analysis
Sales Analysis of super market
Language:Jupyter Notebookjotstolu / Sales-Analysis-Dashboard---PowerBI-Project-
This project involved developing an interactive Pizza Sales Dashboard using Power BI. The dashboard was designed to analyze and monitor key metrics, providing insights into sales performance, customer behavior, and operational efficiency, thereby enabling data-driven decision-making for stakeholders.
Niveditha-2003 / Blinkit-Grocery-Sales-Dashboard
A retail sales analysis dashboard for Blinkit, created using Excel Pivot Tables. This dashboard provides insights into total sales, outlet performance, item categories, and sales trends to support business decision-making.
steveee27 / Black-Friday-Sales-Analysis
This repository analyzes Black Friday sales data to uncover customer behavior patterns and purchasing trends. Using EDA and predictive modeling (Linear and Random Forest Regression), the project provides actionable insights to help businesses optimize sales strategies for future events.
Unnati-Guptaa / Pizza-Sales-Data-Analysis
This Pizza Sales Analysis project demonstrates proficiency in using SQL and Power BI to analyze and visualize data effectively, to uncover actionable insights into sales trends and product performance for a pizza restaurant.
