Data analysis project with powerBI

Super Store Sales Dashboard

This project presents an interactive sales dashboard built to analyze and monitor the performance of a retail store. The dashboard provides a comprehensive overview of sales, profit, orders, and customer behavior across multiple dimensions.

Key Features:

KPIs Tracking: Displays main metrics including total profit (1.47M), total sales (13M), number of orders (25K), and customer count (795).

Category Analysis: Profit breakdown across Technology, Office Supplies, and Furniture to identify the most profitable segments.

Sales by Day: Comparison of sales volume and discounts across weekdays to highlight customer purchasing trends.

Segment Insights: Pie chart visualization showing the contribution of Consumer, Corporate, and Home Office segments to overall sales.

Profit Trends Over Time: Line chart tracking positive and negative profit performance from 2011 to 2014.

Interactive Filters: Date range selector for drilling down into specific periods and analyzing seasonal trends.

Tools & Technologies Used:

Power BI (or Tableau/Excel – depending on what you used).

Data preprocessing and cleaning before visualization.

Business Intelligence best practices for interactive dashboards.

Outcome:

This dashboard enables stakeholders to quickly identify profitable categories, sales trends, and customer segments, supporting data-driven decisions to improve business performance and strategy.