Sales analysis project using Tableau and Superstore data

End-to-end retail sales data cleaning, analysis & forecasting using Python, SQL & Tableau. Analyze & forecast retail sales using Global Superstore data: Python (Pandas, Matplotlib), SQLite, Tableau dashboards. Keep it under 100 characters if possible so it displays well.

- Developed interactive Tableau dashboards to analyze fictional Superstore sales data, focusing on sales performance, regional trends, and customer segmentation to drive strategic business decisions. - Utilized geospatial and trend analysis to uncover seasonal patterns, market penetration, and sales fluctuations, providing actionable insights.

Superstore Sales Analysis using Tableau and creating dashboard

Dive into retail insights using Tableau with interactive visualizations and detailed analysis of sales, customer behavior, and regional dynamics from the Superstore dataset.

The Superstore Performance Tracker project uses Tableau to visualize sales, profits, and product performance. It provides insights into key metrics across regions and categories, helping businesses optimize their operations. Interactive dashboards enable data-driven decisions and in-depth analysis.

Analysis of Tableau Superstore Sales Sample Data

No description available

Tableau Project on SuperStore Sales Analysis

No description available

This project provides an interactive analysis of Superstore sales data using Tableau, offering insights into sales performance, customer behavior, and market trends to help optimize business strategies.

No description available

Leveraged SAS Enterprise Miner to conduct a comprehensive analysis of Superstore sales data. The project focused on evaluating profit/loss ratios and maximum sales for each product category and subcategory.

This Tableau project analyzed the Superstore dataset to create interactive dashboards that compare regional metrics, revealing growth opportunities to guide strategic business expansion.

Analysis of Superstore Sales and Customer base using Tableau.

Analysis of sales performance using Tableau and the Superstore dataset

Mini project on - 'Sales analysis on 'Superstore' and 'Coffeechain' data using Tableau'.

SQL and Tableau project on the sales analysis of a global superstore

📊 Data analysis projects by Adam Suvi, S.Si., C.DA — Superstore Analysis, DKI Jakarta Sales, Surya Mart | SQL · Python · Power BI · Tableau

Tableau project for analyzing sales and profit using the Sample Superstore dataset. Includes interactive dashboards such as sales forecasting, category-wise analysis (lollipop chart), regional profit distribution, and customer-level insights.

Tableau Superstore Analysis involves exploring sales, profits, and customer trends using interactive dashboards, charts, and filters. It helps in identifying top-selling products, regional performance, and business growth opportunities.

Interactive Tableau dashboard analyzing Superstore sales and profits using Kaggle data. Features KPIs, product and regional insights, segment-wise analysis, top products, and dynamic visualizations for actionable business intelligence.

📊 Strategic analysis of how product placement impacts sales performance, built with Tableau. Explores pricing strategies, promotional effectiveness, seasonal trends & customer segments through interactive dashboards using the Sample Superstore dataset.

Analysis of Sample Superstore dataset using SQL and Tableau. Includes data cleaning, transformation, and interactive dashboards to identify sales trends , top-performing regions, and loss-making areas, providing actionable insights.

Performed interactive sales analysis on the Superstore dataset using Tableau. Visualized key metrics like total sales, profit, and quantity sold. Uncovered regional and sub-category trends, profit margins, and return patterns. Dashboard includes filters for deep exploration.

contains an analysis of the Superstore dataset, focusing on profitability, sales trends, and discount impacts by state, sub-category, and region. Insights are aligned with a Tableau dashboard for visual representation.

End-to-end sales and profit analysis using the Sample Superstore dataset. Performed data cleaning in Excel, wrote SQL queries to analyze sales, profit, customer segments, and regional performance, and built interactive Tableau dashboards to identify key business insights and loss-making areas.

This repository contains a Tableau workbook ( .twb) that provides an in-depth analysis of sales data from the global_superstore_2016 dataset. The workbook is designed to visualize and explore key business metrics and trends

Power BI Project - Global Superstore Sales Analysis This project contains - Total sales (2012-15), The total quantity of products sold, Average delivery days, returned orders, Top 10 profitable customers, Profit and loss by the products, sales by region, market, and segment. Tableau Project - College Facebook Page Analysis This project contains - Total page view ( Jan 2021 to Feb 2022 ), Page impressions, Monthly impression changes, Fan increase.

Superstore Sales Analysis (Tableau)