This project focuses on analyzing sales data from the Superstore dataset to gain insights into various key performance indicators (KPIs) and visualize trends over time using Tableau.
The dataset used for this analysis can be found on Kaggle at the following link: Superstore Sales Forecasting Dataset
The Tableau visualizations created for this project can be accessed on Tableau Public at: Tableau Public - Superstore Sales Analysis
The following KPI indicators are analyzed in this project:
- Unique Customer ID
- Unique Order ID
- Total Sales
- Quantity
- Profit
- Customer with Highest Sales
- Customer with Highest Profit
- Customer with Highest Quantity
- Sales Over Time: An interactive graph showcasing sales trends over time.
- Average Profit per Customer: Analysis of the average profit generated per customer.
- Device Breakdown of Category based on Profit: Visualization of profit breakdown by device category.
- Top Profitable Product: Identification of the top profitable product.
Through this analysis, we aim to provide insights into various aspects of sales performance and customer behavior within the Superstore dataset.
- [Rutuja Pohare]