This is a sample superstore dataset. This CSV file contains the superstore sales data that can be used to perform extensive data analysis to deliver insights on how the company can increase its profits while minimizing losses.
The goal of this analysis is to identify key insights from the sales dataset to support data-driven marketing and business decisions. Specifically, it aims to:
- Analyze Sales Performance – Determine the best-selling product categories and sub-categories.
- Evaluate Profitability – Identify the most and least profitable products to optimize pricing and inventory strategies.
- Assess Discount Impact – Understand how discounting affects sales and profit margins.
- Provide Actionable Recommendations – Suggest improvements in marketing focus, pricing adjustments, and discount strategies.
The findings will help the business maximize profitability, improve sales efficiency, and refine marketing efforts.
You can download a copy of the dataset here
The detailed sales analysis can be seen here
Appreciations to HNG Internship for providing the inspiration for this analysis.