Xee-xainab/AnalystLab-Africa-week-4-Superstore-Sales-Dashboard-Power-BI

interactive Power BI dashboard analyzing Superstore sales performance, regional trends, product profitability, and customer behavior. # 📊 Superstore Sales Performance Dashboard ## Overview This project presents an interactive **Power BI dashboard** developed using the **Superstore Sales Dataset**. The dashboard transforms raw sales data into meaningful business insights, enabling stakeholders to monitor performance, identify trends, and make informed decisions. The report was developed as part of **Week 4 – Data Visualization & Dashboarding** during my **Data Analytics Internship at AnalystLab Africa**. --- ## Business Problem Retail businesses generate large volumes of sales data every day. Without effective analysis, it is difficult to understand sales performance, profitability, customer purchasing behavior, and regional trends. This project addresses these challenges by transforming raw transactional data into interactive dashboards that support data-driven decision-making. --- ## Project Objectives * Analyze overall sales performance. * Evaluate profitability across different product categories. * Identify top-performing regions and products. * Understand customer purchasing behavior. * Monitor sales trends over time. * Build an interactive and user-friendly Power BI dashboard. --- ## Dataset * **Dataset:** Superstore Sales Dataset * **Source:** Kaggle * **Tool:** Microsoft Power BI The dataset includes information on: * Orders * Customers * Products * Categories * Sales * Profit * Discounts * Shipping * Regions * Order Dates --- # Dashboard Pages ## 1. Executive Overview This page provides a high-level summary of overall business performance. ### KPIs * Total Sales: **2M** * Total Profit: **286.40K** * Total Orders: **5K** * Profit Margin: **12%** ### Visualizations * Sales Trend * Sales by Region * Profit by Category --- ## 2. Product & Regional Performance This page focuses on product performance and regional sales analysis. ### KPIs * Total Sales: **2M** * Total Profit: **286.40K** * Average Discount: **15.6%** * Total Products: **2K** ### Visualizations * To …