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Supermarket Sales Performance Analysis Project Overview

This project presents an interactive Power BI dashboard to analyze supermarket sales performance. The goal is to identify key business insights related to sales trends, product performance, customer behavior, and regional performance.

This project is part of my Data Analyst Portfolio, demonstrating my skills in data cleaning, analysis, and visualization.

Dashboard Preview

Dashboard Overview Business Objectives

Analyze overall sales performance

Identify top-performing product categories

Understand city-wise sales distribution

Track sales trends over time

Compare performance across branches

Key Insights

Total Sales: 322.97K

Total Profit: 15.38K

Total Quantity Sold: 5,510

Average Rating: 6.97

Performance Highlights

Top Product Category: Food & Beverages

Highest Sales City: Naypyitaw

Sales show variation across branches

Consistent demand across major product lines

Tools & Technologies Used

Power BI – Data visualization & dashboard creation

Excel / CSV – Dataset handling

SQL – Data querying and analysis (project practice)

Python (Pandas) – Data exploration (learning phase)

Dashboard Features

KPI Cards (Sales, Profit, Quantity, Rating)

Sales by Product Line (Bar Chart)

Sales Distribution by City (Pie Chart)

Sales Trend Over Time (Line Chart)

Branch Filter (Interactive Slicer)

Clean and professional layout

Project Structure Sales-Performance-Analysis01 │ ├── data/ ├── dashboard/ │ └── Supermarket_Sales_Dashboard.pbix ├── Images/ │ └── dashboard_overview.png ├── README.md Dataset Information

The dataset contains supermarket transaction data including:

Branch

City

Product Line

Quantity

Total Sales

Customer Rating

Date & Time

Payment Method

How to Use This Project

Download the .pbix file from the dashboard folder

Open it using Power BI Desktop

Interact with filters and visuals to explore insights

About Me

Shawana Hakim Aspiring Data Analyst | Power BI | SQL | Python | Excel

I am currently building real-world projects to strengthen my data analytics skills and prepare for entry-level Data Analyst roles.

LinkedIn: www.linkedin.com/in/ shawanahakim GitHub: https://github.com/shawana009

Project Status

Completed – Day 7 of Data Analyst Portfolio Challenge

About

Interactive Power BI dashboard analyzing sales performance, product trends, and regional insights using data modeling and dynamic filtering.

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