This is a Tableau public simple superstore analytical dashboard project

End-to-end data analytics project analyzing Superstore sales performance using Excel, SQL, and Power BI with a 7-day sales forecast based on historical trends.

This is an interactive data analytics dashboard built with Python and Streamlit, using Brent Superstore dataset. This project provides real-time business insights through visualizations like sales trends, regional performance, profit analysis, customer segments, and discount impact.

This project is an interactive data analytics and machine learning dashboard built using Streamlit and the Superstore dataset. It provides dynamic visual insights into sales performance and enables users to predict profitability of transactions using a trained machine learning model.

The "SuperStore Sales Dashboard with Live Forecasting" is a data analytics and visualization project aimed at providing valuable insights and accurate sales forecasting to support the growth and efficiency of a supermarket. This project combines data analysis techniques, interactive dashboard design, and time series analysis to empower decision-mak

Project : Amazon superstore Data Analysis Name of the task : Exploratory Data Analysis- (Retail) Task category : Data science and Business Analytics

SUPERSTORE SALES ANALYTICS PROJECT USING TABLEAU

End-to-end sales analytics project using Python, SQL, and Tableau dashboard built on the Superstore dataset.

SQL + Power BI Analytics Project on Superstore Dataset

it is a Sample-Superstore.xls data analytics project.

ANALYTICS PROJECT | Global Superstore Business report in Python and PowerBI

No description available

Data analytics project of superstore retail that operates in the US

A Descriptive Data Analytics project to query The Briggs Superstore Database by using SQL queries and outputs

Project : Amazon superstore Data Analysis Name of the task : Exploratory Data Analysis- (Retail) Task category : Data science and Business Analytics

E-commerce business data analytics project. US superstore dataset was analysed, cleaned, pre-processed using python and then visualized using IBM_cognos_analytics tool.

End-to-end sales analytics project using PostgreSQL and Power BI — from raw Superstore data to interactive dashboards and executive insights

Interactive Power BI dashboard analyzing Superstore sales, profit trends, forecasting, and customer insights. End-to-end Power BI analytics project with sales KPIs, regional insights, and forecasting.

End-to-end data analytics project using SQL, Python, and Power BI to analyze Superstore sales (2015–2018). Includes data cleaning, EDA, customer segmentation (RFM), and interactive dashboard.

End-to-end sales analytics project using Python, SQL, and Power BI. Includes data cleaning, exploratory analysis, interactive dashboards, and data-driven business recommendations based on a retail superstore dataset.

This repository contains a comprehensive sales analytics dashboard that explores superstore sales data using interactive visualizations and advanced analytics. The goal of the project is to provide actionable business insights through real-time performance monitoring, customer segmentation, and predictive forecasting.

End-to-end data analytics project for Superstore retail sales. Includes data cleaning in Excel, SQL data warehousing, Python EDA, visualization, and actionable business insights for sales, profit, and discount optimization.

This project focuses on analyzing sales data from a fictional retail chain called Superstore. The goal is to derive meaningful business insights from historical data using data analytics tools and techniques.

This project is a comprehensive sales analytics dashboard created using Power BI, designed to provide insights into sales data from a Superstore across different regions, product segments, and customer segments. The dashboard offers a detailed view of sales performance, profitability, and trends for various items sold by the Superstore.

A complete data analytics project exploring Global Superstore’s sales (2011–2015) using Python. Includes data cleaning, EDA, profitability insights, regional analysis, and profit forecasting to uncover key business patterns and growth opportunities.

An Excel based data analytics project focused on cleaning, analyzing, and visualizing Superstore sales data using pivot tables, KPIs, and an interactive dashboard to uncover trends in sales, customers, products, regions, and shipping performance.

A data analytics project to explore, clean, and visualize retail sales data from a global superstore. The goal is to uncover patterns in sales, profit, discounts, and product performance across countries and customer segments.

An interactive sales analysis and forecasting dashboard built using Power BI. This project explores sales, profit, and product performance data from a fictional SuperStore and includes predictive insights using Power BI's built-in analytics tools.

Data Analysis Project: Superstore Performance.Data analytics project focused on translating raw sales data into actionable business insights. Key Skills Demonstrated: Data cleaning, KPI calculation, time-series analysis, comparative visualization (pie charts, bar charts). Tools Used (Customize this): Power BI / Python (Pandas, Matplotlib)

Python-based data analysis project on Superstore USA sales dataset. Includes data cleaning, EDA, and visualization to uncover trends in sales, profit, and customer segments. Demonstrates data analytics skills using Python libraries like Pandas, Matplotlib, and Seaborn for actionable business insights.