🛒 Retail Analytics Dashboard (Power BI)

This repository contains a Retail Analytics Dashboard built in Microsoft Power BI.
The dashboard provides insights into sales performance, customer behavior, and product trends to help retailers make data-driven decisions.

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Features

• Sales Overview: Total revenue, profit, and units sold by category and region.
• Customer Insights: Customer segmentation and purchase patterns.
• Product Analysis: Best-performing and underperforming products.
• Time Trends: Sales trends by month, quarter, and year.
• Interactive Filters: Drill down by region, product, and customer type.

Project structure

• Retail-Analytics-Dashboard/
• ├── Retail_Analytics_Dashboard.pbix
• ├── data/
• │ └── retail_sales_dataset.csv
• ├── docs/ # Documentation & screenshots
• │ └── dashboard_preview.png
• └── README.md

Tools & Technologies

• Microsoft Power BI (for data modeling & visualization)
• Power Query (M language) for data transformation
• DAX (Data Analysis Expressions) for measures & calculated columns
• Sample Retail Dataset (CSV/Excel)

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Insights gained

• Identified top 5 products by revenue.
• Discovered sales seasonality across different regions.
• Compared profit margins across categories.
• Monitored customer contributions to revenue.

Dashboard preview

Sales Overview

Customer Insights

Inventory Overview