Superstore dataset power bi github The data, sourced from the Superstore retail transaction dataset on Kaggle, covers the period from 2014 to 2018. The This project provides a dynamic and intuitive dashboard created using Power BI, offering comprehensive insights into sales data from a fictional superstore. Our main KPI's for this Dataset were that of Total Sales, Profit and Quantity. - AmitBhowmick01/Visu Dataset stores sales information of some products of a company worldwide Includes 3 data tables:(The detailed file with the name _"1. of About. Payment Insights: 43% prefer COD, 22% Cards, 35% Online - Tailoring payment options can enhance customer satisfaction. Dataset Global Superstore Sales Data Analysis - Power BI This project performs a data analysis on a global store dataset containing sales details across various branches worldwide. Analyzing the tables Global-Superstore---PowerBI-Sales-Dashboard. Power Query: Applied for thorough data cleaning and transformation, ensuring high data quality. The Superstore dataset in Power BI has been an insightful venture into the dynamic world of retail. Installation. The dashboard features filters, maps, and charts to explore sales trends and insights. This project features an interactive Power BI dashboard built on the Super Store dataset, providing insights into sales trends, customer preferences, and business performance. By analysising various aspect of the data, we seek to identify (top selling product, product performance, regional performance and monthly sales trend, make data driven reccommendation and gain deeper understanding of the store performance Superstore Profit Visualization on Power BI is a dashboard that displays an analysis of sales and profit data from the Superstore dataset using Power BI. Welcome to the Grocery Stores Analysis Power BI project! 🚀 This project is designed to unravel insights from a rich dataset, boasting multiple columns and over 10,000 rows of grocery store information. SQL queries & Power BI visuals analyze Superstore sales, offering insights into performance and trends - HashanPavi/Sales_Dashboard---MYSQL-PowerBI GitHub community articles Repositories. This repository showcases the Superstore Sales Analysis project, which aims to analyze and visualize the sales data of a fictional superstore. The combination of cards, slicers, and various charts ensures a rich and interactive user experience, making it easier to derive meaningful insights from the dataset. - spathak01/Visualizing-Superstore-Data-with-PowerBI Welcome to the Power BI project for the global store dataset! This project provides a detailed report on sales transactions across branches worldwide. It sells a wide range of products categorized under Furniture, Office Supplies, and Technology. This megastore, which sells furniture, office supplies, and technology products, is situated in the United States of America. Dataset. Explore key metrics, product performance, customer segmentation, and Explore and run machine learning code with Kaggle Notebooks | Using data from Superstore Dataset This GitHub repository houses a collection of Power BI visualizations designed to analyze sales data for Global Superstore. I have developed a demo Power BI dashboard using the "global_superstore_2016" dataset, sourced from the internet. Open the Super Store Analysis. of This Power BI report offers an in-depth analysis of the Global Superstore dataset, covering three key areas:. This repository contains my Power BI project focusing on analyzing the Superstore dataset. An analysis of sales data of a global superstore For this project, I utilized Power BI in analyzing and visualizing 4 years record of a retail dataset for a global superstore brand using Power BI. Find and fix vulnerabilities This repository features a Power BI dashboard utilizing time series analysis for sales forecasting. Interactive Dashboard: Dynamic Power BI dashboard with filters for region, product categories, and time range. Connect the file to the SuperStore_Sales_Dataset. I analyzed the Superstore Dataset to evaluate the performance of a superstore located in the United States. Challenges encompass data cleansing, transformation, exploratory analysis, and crafting informative visualizations. Case Superstore desenvolvido no Power BI. Step 3: Select "Column Profiling based on entire dataset" to This Power BI report analyzes the Global Superstore dataset, providing key insights into sales, profitability, shipping, and regional performance. The report is structured into four pages, each focusing on specific aspects of the data to inform strategic business decisions. The dataset is a Global Superstore dataset based on sales and was found on Kaggle. Explore the code and reports to gain insights into sales performance, customer behavior, and product analysis. SuperStore Sales DataSet. This repository contains a project on visualizing Superstore sales data using Power BI. Superstore Sales Dashboard - Power BI The Superstore Sales Dashboard is a visually rich and interactive tool designed to provide insights into sales performance, trends, and operational A comprehensive Power BI dashboard utilizing the Global Superstore dataset, providing robust and dynamic data visualizations. It is designed to provide deep insights into the company's operations, highlighting areas for improvement and showcasing successes. In pursue of knowledge and understanding of which products, regions, categories and customer segments a company should target or avoid, I search and selected an appropriate dataset on kaggle which will match a standard superstore requirement. This repository contains two interactive Power BI dashboards created using the Superstore Sales dataset. The dataset includes order details, anonymized customer information, product specifics, and financial metrics. Sales Performance The analysis of Superstore's sales data over the past four years reveals a total revenue of $10 million, with consumer and technology segments prominently driving sales. - GitHub - shalusam07/Global-Superstore-Dashboard-PowerBI: Welcome to the Power BI project for the global store dataset! Superstore_Analysis Superstore is a retail chain that operates across various regions in the United States. - Ayshanmaredia/Global Power BI Project: Designed a star schema for the Global Superstore dataset, organizing data into fact and dimension tables to optimize reporting and analysis. Topics Trending it is the Global Power BI is used as the visualization tool to create interactive and visually appealing reports. Using the Superstore dataset, the goal of this machine learning project is to perform Exploratory Data Analysis (EDA) and implement clustering techniques to gain insights into customer behavior and This project involves the development of two interactive dashboards using Power BI to analyze the sales and profit performance of a US superstore. It is then imported into a SQL database and SQL queries are utilized to extract relevant information to derive insights from the dataset. The Super Store's shipment dates, sales, profit, and other data are included in the Superstore dataset. The Superstore Dashboard using Power BI is a comprehensive and interactive data visualization tool designed to analyze and explore the Superstore dataset. Explore our GitHub repository where we leverage Power BI to create a star schema for a Superstore dataset, conduct statistical analysis for key insights, and employ machine learning techniques to provide data-driven answers to critical business questions. Visualizations and insights are included to aid decision-making. The goal of this project is to analyze and answer the following business questions to aid in making intelligent business decisions; Disable telemetry, within Power BI Desktop, do the following. It allows users to analyze sales performance, trends, and insights to make data-driven decisions. The Global Superstore is a retail dataset which contains an excel file with three sheets named as 'Orders', 'People' and 'Returns' over 4 years starting from 2012 till 2015 , covering orders of 147 countries around the world. Sample Superstore Dashboard - Ogunbod/Superstore-Analysis GitHub community articles Repositories. Power BI is a robust business analytics tool 📊 that transforms raw data into actionable insights. Dataset and use case presentation Data analysis : 1. Contribute to nasimabo/SuperStore_Sales_Dataset_power_BI_projcet development by creating an account on GitHub. To explore key business metrics, trends, and patterns in an interactive and visually engaging manner. We all use the online global store SQL queries are utilized to extract relevant information and derive insights from the dataset. The dashboard provides insights into global sales performance, this dataset for 4 year (2011 , 2012 , 2013 and 2014) for superstore sales , this a visualization for this dataset by python and power bi. Create a dashboard, do a Show and Tell at the end of the Sprint; Create a power point presentation to present the This repository contains a project on visualizing Superstore sales data using Power BI. png - PowerBI Dashboard snapshot/screen capture The dashboard is published at the following link on Microsoft PowerBI Workspace: This Power BI dashboard comprehensively analyses the Global Superstore dataset, offering insights into sales, profits, and other key metrics. Power BI: Utilized for data analysis and visualization, allowing for dynamic exploration of the dataset. It features an The Global Superstore Dataset contains a vast array of records, capturing sales, orders, and customer information from various regions and product categories. At the menu, connection to the dataset, data cleaning with Power Queries, Exploratory data analysis, then a bit of dashboard design. To help supermarkets achieve their goals for growth, efficiency, and The analysis of Superstore's sales data over the past four years reveals a total revenue of $10 million, with consumer and technology segments prominently driving sales. The dataset contains shipping dates, sales, profit, and other relevant data. - ogochukwu/Global-Superstore-Analysis : Developed a Business Intelligence (BI) Dashboard using Power BI. Consists of various insights regarding sales, profit,etc Resources Design Of a Sales Dashboard using Power BI Desktop with Global Superstore Dataset - Nikh1992/Sales-Dataset Contribute to Peeyoh/Superstore-report-using-powerbi development by creating an account on GitHub. 6M - An The data is truncated from the original US superstore dataset(due to capability of my laptop). Grocery Dive reporters Catherine Douglas Moran and Sam Silverstein recently visited a Walmart supercenter in Germantown, Maryland, that was remodeled last summer to Superstore Sales Analysis with Power BI This project leverages Power BI to analyze and visualize the sales, profitability, and returns of a fictional Superstore. The dashboard is based on the Global Superstore Dataset, which contains a comprehensive set of data about the company's sales and operations, including information about sales by region, product category, and customer segment, as well as data on shipping costs, profits, and inventory levels. Using Global Superstore dataset with 5-year data from operational systems, the project is to design a data model using Dimensional Modelling and Bus Matrix Architecture. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. A Power-BI data visualization from raw data to valuable output of a superstore data-set - somnath-97/Global-Super-Store-2016 Step 5 : Data Integration: Connected the three datasets using common columns. - luminati This repository is for the codebase and dataset for the paper "Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation" - mickeymst/F3 The Power BI Superstore Sales Analysis Project is a comprehensive, hypothetical data analytics solution designed to simulate real-world business challenges in assessing and predicting key trends based on two years of superstore sales data. superstore sale dashboard. This project provide report of sales transactions, shipping trends, and market analysis . It include various visualization helps to stakehol Contribute to nidhiy7/Superstore_Analysis_Power_BI development by creating an account on GitHub. 17M. A repository containing a Power BI project leveraging the "global_superstore_2016" dataset, showcasing visualizations and insights derived from the data for global sales analysis and fore A repository containing a Power BI project leveraging the "global_superstore_2016" dataset, showcasing visualizations and insights derived from the data for global sales analysis and forecasting. ; Sales and Profit Analysis: In-depth analysis of sales performance and profit margins across different segments. This repository contains a Power BI dashboard created using the Superstore dataset from Kaggle. In this project, you'll find a comprehensive collection of resources and code to help you master Power BI and dive into the world of data analytics. - Puja-csm/Random Created a dynamic Power BI dashboard using the Superstore sales dataset for detailed analysis of sales metrics, customer segmentation, product performance, and geographic sales distribution. DAX Functions: Created dynamic measures and KPIs to support in-depth analysis and provide meaningful insights. Contribute to nigamdev07/power-BI development by creating an account on GitHub. You switched accounts on another tab or window. - Itsmeseba/Power-BI--Data-Transformation-Visualization Here 1) Data Cleaning was done 2) Sales Analysis on Regional Basis was done - uttamkumar49438/Global-Superstore-Dataset-in-Power-BI The "Walmart sales analysis Power BI dashboard for insights and trends" provides comprehensive data analysis and visualizations for Walmart's sales performance, enabling users to uncover valuable insights and emerging trends. Superstore_Sales_Dataset xlxs" _can be downloaded from the above location) Orders: fact order; People: information of salesperson; Returns: information on returned orders • Optimize and increase performance to improve loading time and user experience & Export, publish, deploy, Power BI Dashboard • Created connections, join new tables, Extracted data & performed data modeling, data cleaning, Data transformation(ETL), LOD Expressions, DAX queries, measure/calculations, dual-axis to manipulate data & dashaboard To contribute to the success of a business by utilizing data analysis techniques, specifically focusing on time series analysis, to provide valuable insights and accurate sales forecasting. 20M. Through dynamic charts and graphs, uncover valuable insights into customer behavior and market trends. To contribute to the success of a business by utilizing data analysis techniques, specifically focusing on time series analysis, to provide valuable insights and accurate sales forecasting. Step 1: Load data into Power BI Desktop, dataset is a CSV file. Superstore-Analysis Power BI Dashboards for Super Store Dataset Analysis using Power BI. My aim is to provide analyses that are easy to understand, aiding in making informed decisions and driving success. - Power-BI_Superstore-Sales/README. Things I Have Done For Power Bi Project :- 🔹Imported the Excel Superstore dataset into Power BI. Utilizing Excel, the dataset undergoes This project involves creating an interactive Power BI dashboard to analyze sales data from the Global Superstore dataset. In this task, I carried out the process of cleaning and transforming three different datasets using Power BI. This Power BI project focuses on analyzing the SuperStore Sales dataset to forecast sales and uncover key business insights. Then, conducting five ETL workflow on SSMS to transfer data to data warehouse. Topics Trending Collections This repository features the Superstore Sales Analysis project, demonstrating data cleaning and analysis using Python and SQL, along with interactive visualization in Power BI. ; Customer Insights: Visualizations showing customer purchasing behavior and regional trends. Interactive sales dashboard of global superstore dataset. Ideal for analysis and modeling, the data is available in CSV format. main About. 68M with Profit margin of 0. This repository showcases the Superstore Sales Analysis project, which aims to analyze and visualize the sales data of a superstore. xlsx. Topics Trending Collections Enterprise 1. - Sample_Superstore-Power_BI Create a dashboard using DAX functions Find the % of sales between cities Create charts and visualization Use data Modeling to create relationships between Fact and Dimension tables This dashboard provides deep insights into sales trends, product performance, and customer behavior using the Global Superstore dataset. This report analyzes various aspects of the dataset to extract meaningful insights. pbix) in Power BI The dashboard is based on the Global Superstore Dataset, which contains a comprehensive set of data about the company's sales and operations, including information about sales by region, product category, and customer segment, as well as data on shipping costs, profits, and inventory levels. The dataset used is a sample dataset provided by Superstore. Clone the repository and open the '. Best-Selling Category: Office Supplies - Exploring similar products promises growth. To enhance business performance by analyzing a two-year Superstore sales dataset, uncovering key sales and profit trends, and providing accurate sales forecasting. - anuppm9917/Super-Store-Sales-Analysis-Power-BI-Project Saved searches Use saved searches to filter your results more quickly This is a repository for a project on visualizing sales data of a superstore using Power BI. Create Table Using DAX 7. This project includes cleaning the Global Superstore dataset in Power BI and creating an interactive sales dashboard. md at main · MinhAnh99/Power-BI_Superstore-Sales You signed in with another tab or window. The dataset includes information such as sales, profit, product category, shipping methods, regions, cities, and more. This Power BI Dashboard represents sales of different products by : Year; Segment; Country; Top/Bottom products by profit; Total number of sales; Quality sold; Average delivery days; Returned orders; Steps Covered: Connecting Database with Power BI Desktop. This project delves into the analysis of sales data from a fictional superstore, aiming to extract actionable insights crucial for informed decision-making. - par SQL queries are utilized to extract relevant information and derive insights from the dataset. pbix file in Microsoft Power BI. This project presents a dynamic and interactive Power BI dashboard that offers a comprehensive analysis of sales, profitability, returns, and individual salespeople performance within a company. Contribute to LabeebVK/Power-BI development by creating an account on GitHub. Clone or download the repository to your local machine. This project was aimed to leverage the power of data visualization and analytics to take strategic initiatives for improved business outcomes. Regional Sales Snapshot: West leads with 33%, Central with 22%, East with 29%, South with 16% - Targeted marketing is key. 🔹Created a DAX Measures for cumulative totals Employee Presence % , Work From Home% and Sick Leave% etc. The dashboard aims to provide insights into the market data, helping the store make informed decisions about product stocking, identifying top-selling categories and products, maximizing profits, and understanding sales distribution across different To contribute to the success of a business by utilizing data analysis techniques, specifically focusing on time series analysis, to provide valuable insights and accurate sales forecasting. It offers multiple interesting dimensions to explore like order priority, product category, ship mode, location details, product segment and time series information. Key insights include sales trends, profitability, and product performance across regions. The data is truncated from the original US superstore dataset(due to capability of my laptop). This project is designed to present key information and trends to stakeholders, enabling informed decision-making. Explore the interactive dashboards and visualizations to gain You signed in with another tab or window. Overview of Superstore Sales Dataset: Total number of orders Total sales Average profit. --> In 2013 , Total sales if of worth 2. You signed in with another tab or window. Reload to refresh your session. Sample Superstore Sales The Sample Superstore Sales dataset provides sales data for a fictional retail company, including information on products, orders and customers. The Superstore dataset represents fictional sales data for a retail superstore, and the analysis aims to gain insights into various aspects of Welcome to the Grocery Stores Analysis Power BI project! 🚀 This project is designed to unravel insights from a rich dataset, boasting multiple columns and over 10,000 rows of grocery store information. - sahithi064/superstore-sales-analysis-and-time-series Contribute to Yash7752/SuperStore_Sales_Dashboard_-Power_Bi- development by creating an account on GitHub. Our approach employs Python Power Bi project showcasing for global superstore dataset. Utilizing the rich data provided, the project aims to deliver a comprehensive understanding of sales trends and customer behavior. In this repository I have my superstore sales analysis dashboard of kaggle. We read every piece of feedback, and take your input very seriously. By leveraging Power BI's data transformation and visualization capabilities, these dashboards provide insights into key Contribute to Harsh-455/SUPER-STORE-SALES-FORECAST-USING-POWER-BI development by creating an account on GitHub. - Itsmeseba/Power-BI--Data-Transformation-Visualization You signed in with another tab or window. Visualizations such as bar charts, line graphs, and KPIs highlight metrics like total sales, profit, and top-performing categories, enabling data-driven decision-making. Through data visualization, I've uncovered hidden patterns and trends within sales figures, customer demographics, and product performance, gaining a deeper understanding of consumer behavior and market dynamics. - AmitBhowmick01/Visu The goal of this project is to leverage Power BI's powerful features and capabilities to analyze and visualize the Global Superstore dataset. Explore the code and reports to gain insights into sales performance, customer behavior, and About. This project focuses on identifying profitable and unprofitable products and regions, assessing shipping costs and discounts, and generating actionable insights for management. The dataset used in this Power BI project is stored in a spreadsheet and contains sales data from the store's branches worldwide. Import and Clean Data 3. - GitHub - Jayant110/Superstore-Sales-SQL-Power-BI: This Github repository contains a US superstore dataset with customer, product, and revenue information. This analysis of a fictional US superstore sales data using Power BI provides invaluable insights into the performance, trends, and opportunities within the retail landscape. This project involves the development of two interactive dashboards using Power BI to analyze the sales and profit performance of a US superstore. Thrilled to contribute to organizational growth by unlocking the potential of data-driven insights with Power BI. These dashboards provide comprehensive insights into key sales performance indicators (KPIs) such as sales, profit, customer segments, and product sub-categories. Superstore Profit Visualization on Power BI is a dashboard that displays an analysis of sales and profit data from the Superstore dataset using Power BI. The visualizations provide insights into sales patterns at various geographic levels and delve into shipping cost trends. This project provides a comprehensive analysis of Super Store sales data using Power BI. The solution involves leveraging Excel for data cleaning and converting to a CSV file. Product-Based Analysis; Customer-Based Analysis; Region-Based Analysis; The report is designed to provide insights into sales performance, profit margins, and customer behavior, while allowing for drillthrough, tooltip pages, and interactive slicers. The Superstore Analysis project aims to provide comprehensive insights into the performance, trends, and patterns within the sales data of a fictional superstore. Import and Contribute to montiprem/Power-Bi-Mahendra-Sales-Analysis- development by creating an account on GitHub. The superstore Sales Dashboard is a Power BI project designed to analyze and visualize sales data for a selling business. Sales Forecasting 6. Using data analysis methodologies, key metrics like sales, profit,& quantity have been scrutinized. Created using Power BI, this project employs advanced analytics to drive business decisions. --> In 2012 it was 2. Step 6 : Custom Columns: Added 'Delivery Days' and 'Delivery Year' for enhanced analysis. pbix' file in Power BI Desktop to explore the interactive visualizations and gain valuable business insights. The Power BI dashboard demonstrates how multiple end-users can be catered for in one place. - spathak01/Visualizing-Superstore-Data-with-PowerBI This project presents an in-depth sales analysis of Superstore data using Power BI. Power BI is used as the visualization tool to create interactive and visually appealing reports. AYN superstore is located in the United States of America The main purpose of this Global Superstore project was/is to investigate the company's sales and profit by analyzing the historical dataset and tracking the sales and profit for each year, segment, and market. The dashboard presents detailed insights into business Write better code with AI Security. The West region emerged as the leader in total quantity sold, accounting for 32. Explore the code and reports to gain insights into It is an interactive dashboard made on Power BI Desktop using a dataset named Global Superstore 2016, different graphs and charts are used to represent the data to form the visualization - iamhudaib/Global-Superstore-2016 This Power BI dashboard provides an interactive visualization of sales data from the Superstore dataset. Leveraging the power of Microsoft Power BI, we have created a dynamic dashboard that SQL queries are utilized to extract relevant information and derive insights from the dataset. This Power BI dashboard comprehensively analyses the Global Superstore dataset, offering insights into sales, profits, and other key metrics. - lijesh010/GlobalSuperstoreSalesAnalysis The Global Superstore 2016 dataset encompasses data spanning from 2012 to 2015,sales of various products worldwide. DAX Query & Data Analysis 5. The data covers an Explore the intricacies of the Global Superstore dataset, unraveling insights and uncovering trends within its vast data. The Superstore dataset includes sales data from a fictional retail company, and in this project, I've created various insightful visualizations and dashboards to explore the sales Profit , Discount ,Discounted sales, and other key Measure using DAX . The main objectives of the project are to examine the sales and profit performance of Superstore and to identify different customer segments based on their purchasing behavior. Create Dashboard 4. In the initial data preparation phase, we performed the following tasks: 1 Data loading and inspection. Contribute to hhm150456/Power-BI-Project---Superstore-Sales-report development by creating an account on GitHub. ; Profitability Analysis: Drill-down into high-profit and Data Cleaning/Preparation. The aim is to provide a detailed report of the sales data, segmenting by location (country, region, market) and analyzing various aspects like shipping mode, sales by city Superstore Sales Dashboard This Power BI dashboard provides an in-depth analysis of a retail superstore's sales performance, including category insights, regional performance, and customer segmentation. This project provides an end-to-end experience, from data A Sample Superstore Dashboard created using Power BI analyzing Sales. Select Ok. Open the Power BI project file (. Ensure you have Power BI Desktop installed on your machine. Analysing Superstore performance and obtaining insights for business growth is the aim of this activity. Analyzing the Global Superstore 2016 dataset, including steps like data cleaning, data preparation and finally visualizing the data using various charts and graphs displaying an interactive PowerBI dashboard. The dataset consists of sales data from a global retail company, including information about customers, products, orders, and regions. I use Python Pandas & Python to analyze and answer SQL queries are utilized to extract relevant information and derive insights from the dataset. The following steps were considered while doing this project 1. The goal of this project is to leverage Power BI's powerful features and capabilities to analyze and visualize the Global Superstore dataset. Senior managers need information about the business to be able to develop market expansion strategies and make strategic decisions regarding products. - Power-BI-Dashboard-of-Global-Superstore-Dataset. This project involves several stages, including ETL (Extract, Transform, Load) using Power Query, data modelling, DAX calculations, and data visualization. This table also contains information about customers like name, address and information about orders like product name, order-id, product category. Select File > Options and settings > Options. Analysis of the Global Superstore dataset using Power BI. 🔹 Removed Unwanted Columns 🔹 Cleaned the data to handle missing values and outliers. Identify the KPIs (Total Sales, Total Profit, No. - ogochukwu/Global-Superstore-Analysis The goal is to provide valuable insights and recommendations, design an intuitive and intractive dashboard that can drive strategic decision to support the supermarket's goals for growth, efficiency and satisfaction. Here I perform the operations like Data cleaning using Power Query Editor and data visualization using the business intellegence tool Power BI and create dashboards that gives us the detailed insights of the data and helps in making data driven business decisions. Power BI, a leading business intelligence platform by Microsoft, enables users to create visually appealing and insightful dashboards from diverse data sources. Automate any workflow In this repository I have my superstore sales analysis dashboard of kaggle. - zorro-09/GlobalSuperstore-PowerBI My drive to know which products, regions, categories and customer segments a company should target or avoid, I search and selected an appropriate dataset on kaggle which will match a standard superstore requirement. csv data source. This repository features the Superstore Sales Analysis project, demonstrating data cleaning and analysis using Python and SQL, along with interactive visualization in Power BI. 26 M with profit of 0. : Developed a Business Intelligence (BI) Dashboard using Power BI. A detailed data analysis report will A collection of multiple free datasets across various domains. By leveraging Power BI's data transformation and visualization capabilities, these dashboards provide insights into key GitHub is where people build software. It provides insights into key performance indicators (KPIs), sales trends, customer demographics, and product performance This dashboard provides deep insights into sales trends, product performance, and customer behavior using the Global Superstore dataset. To ensure data accuracy and This project features an interactive Power BI dashboard built on the Super Store dataset, providing insights into sales trends, customer preferences, and business performance. GitHub Gist: instantly share code, notes, and snippets. Utilizing Power BI, this Superstore Sales Dashboard This Power BI dashboard provides an in-depth analysis of a retail superstore's sales performance, including category insights, regional performance, and customer segmentation. About This repository features the Superstore Sales Analysis project, demonstrating data cleaning and analysis using Python and SQL, along with interactive visualization in Power BI. Customer ID - A unique identifier for each customer. Objective - To analyse the sales data from a Superstore and gather insights from it. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. Saved searches Use saved searches to filter your results more quickly This report is being built using PowerBI desktop which is an tool build by microsoft for data analysis and visualization. 2 Removal of N/A values 3 Handling missing values. We all use the online global store Welcome to my journey through the Global Superstore dataset! Here, I delve deep into the data, extracting valuable insights and uncovering trends. It delivers interactive visualizations and business insights. Through interactive visualizations such as bar charts, line graphs, maps, and slicers, the project explores key business metrics including total revenue, profit margins, and sales trends over time. Saved searches Use saved searches to filter your results more quickly Power BI: Utilized for data analysis and visualization, allowing for dynamic exploration of the dataset. 2. Dive into the next 15 days with confidence, armed with data-driven predictions. GitHub community articles Repositories. The dataset contains historical sales data including product details, sales amounts, dates, and many more. The Global Superstore Sales Analysis repository showcases a comprehensive Power BI dashboard that provides valuable insights into sales performance. Overall Welcome to our Sample Superstore dataset project, a comprehensive simulation that delves into extensive data analysis to provide valuable insights for enhancing company profitability while minimizing losses. - Global-Superstore-2016-Power-BI/README. main Contribute to melviquez/Power-BI-Superstore-Dataset development by creating an account on GitHub. This visualization project aims to analyze a fictitious superstore’s sales performance between 2016 and 2019 using Microsoft Power BI. Each sample contains over 1,000 records, ideal for market analysis, machine learning, consumer insights, and more. - par This Github repository contains a US superstore dataset with customer, product, and revenue information. Developed a Power BI project with the Global Superstore dataset for detailed analysis of international retail sales, customer behavior, product performance, and sales trends. Data Table Summary_Inc 5000 2017. You signed out in another tab or window. /README. Actions. This repository contains a comprehensive analysis of the Superstore dataset using Python in Jupyter Notebook and Power BI. A Time Series Analysis and Forecasting, using ARIMA and Prophet models, on a superstore dataset. Conclusion : Consumer segment has the highest Sales percentage This repository contains two interactive Power BI dashboards created using the Superstore Sales dataset. Power BI is used as the visualization tool to create interactive and visually appearing reports. The dataset is analyzed and visualized to gain insights and make data-driven decisions. Welcome to this repository for the build of a financial analysis dashboard relating to the well-known Sample SuperStore dataset! The full project lifecycle and outcome insights are detailed further in the project overview document. Data Cleaning and Filtering. The data was cleaned by promoting headers, correcting data types, and removing duplicates. - GitHub - anishaman/US-Superstore-Power-BI-report: This report is created for the sales insight from recorded data in a US superstore. It includes various visualizations to help stakeholders analyze and understand key aspects of the business. The dataset used in this project is the Superstore dataset, which can be found on Kaggle. md at main · This project involves analyzing the Global Superstore 2 dataset to create a comprehensive Power BI dashboard that presents insights into sales, profit, customer behavior, and product performance. pbix - PowerBI Dashboard file Global-Superstore---PowerBI-Sales-Snapshot. Discover actionable insights with this Power BI dashboard on the Global Superstore dataset. 31M and loss of 0. In this project, we analyze and visualize the sales data of a superstore to gain insights and make data-driven decisions. SuperStore Orders This excel file contains the data about orders made by customers for any product. In powerBI ther are inbuild options avaliable for applying query to the data and also ther are very nice data visualization tools. . With the Global Superstore 2023 dataset as the foundation, you can explore, analyze, and visualize valuable insights. Dive into dynamic visualizations for sales, profit, and quantity across regions, categories, and customer segments. Dataset Overview 2. This contains 2 excel files: 1. The primary objective of this POWER BI project is to gain valuable insights into Global Superstore’s performance. Type of Data Set: Sales Dataset Stakeholder Requirement / Problem Statement: The analysis aims to identify areas where the company can improve its performance and productivity, also draw out insight for Improved Decision-Making, Sales and Profitability. Contribute to e19931107/Power-BI_RFM-analysis-for-superstore-dataset development by creating an account on GitHub. Utilizing Power BI visualization techniques, sales trends & patterns have been assessed. This dataset includes the following variables: Order ID - A unique identifier for each order. There is lot more in playing around with bookmarks and buttons which cannot be observed here. Its intuitive interface and interactive visualizations 📈 empower users to explore data dynamically. Total Revenue: $1. Detailed Power BI dashboards on Superstore dataset - GOWTHAMJEEVANANTHAM/Power-BI-on-Superstore SQL queries & Power BI visuals analyze Superstore sales, offering insights into performance and trends - HashanPavi/Sales_Dashboard---MYSQL-PowerBI GitHub community articles Repositories. Power BI is widely used in industries to get insights from the dataset only with single clicks. md at main · Explore insightful sales analysis of a superstore using Power BI. It is designed to help stakeholders make informed decisions based on the data from the Global Superstore. Within the Options dialog, select Usage Data and then uncheck Help improve Power BI Desktop by sending usage information to Microsoft. The Global Superstore Data Analysis project using PowerBI enhances decision-making by providing a comprehensive and visually appealing analysis of sales data. The dashboard is built using the Superstore sales dataset. This aim of this project is to analyze the sales performance of a retail store over the past and current year. Leveraging time series analysis, predict future sales trends with precision. The dataset was loaded into Power BI in excel format 🗒 Tool Used:- Power BI & SQL . Power BI report on the superstore dataset. Project Insights The SuperStore dataset comprises a comprehensive sales record from a superstore, containing 9,994 entries across 19 distinct fields. GitHub is where people build software. Topics Trending Collections Enterprise Sample Superstore dataset Analysis of the Global Superstore dataset using Power BI. I performed series of data preparation steps to ensure that the data is accurate, consistent, and ready for analysis. I used many visuals like Column Chart, Donut Chart, Drillthrough Donut Chart, Line Chart, Text Card, Number Card, Scrollers, Matrix, Simple Map, etc. This dataset is the Superstore dataset. Step 2: Open Power Query Editor and in the View tab under Data Preview section, check "Column Distribution", "Column Quality", and "Column Profile" options. The visualizations provide insights into profitability by category, region, and year, and can serve as a reference for creating similar dashboards with your own data. About. Saved searches Use saved searches to filter your results more quickly Download the project files from the GitHub repository. Analyzing the tables You signed in with another tab or window. By analysising various aspect of the data, we seek to identify (top selling product, product performance, regional performance and monthly sales trend, make data driven reccommendation and gain deeper understanding of the store performance Contribute to Raghavs34/Data-Driven-Sales-Optimization-and-Forecasting-for-Superstore-A-Power-BI-Approach development by creating an account on GitHub. 25M and loss of 0. From data warehouse, SSAS and Power BI have been deployed to build different cubes and answer OLAP queries for business The dataset used in this Power BI project is stored in a spreadsheet and contains sales data from the store's branches worldwide. Superstore Sales Forecast - Power BI Analysis Overview. The dashboard includes dynamic visualizations on segment-wise sales, payment modes, shipping modes, regional performance, and time-series analysis. This Github repository contains a US superstore dataset with customer, product, and revenue information. Dataset When you convey a covered work, you waive any legal power to forbid circumvention of technological measures to the extent such circumvention is effected by exercising rights under this License with respect to the covered work, and you disclaim any intention to limit operation or modification of the work as a means of enforcing, against the work The goal is to provide valuable insights and recommendations, design an intuitive and intractive dashboard that can drive strategic decision to support the supermarket's goals for growth, efficiency and satisfaction. 39% of the total quantity. Applied advanced forecasting techniques like time series analysis and predictive modeling to project future sales trends and uncover insights. tfcihx wsitktb zxnqbrp wcdx kccksxdj xwibwccg gmwbp xpnva nprxx lkayo