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store-sales

Dashboard About the Project This project focuses on analyzing store sales data using Power BI to understand business performance, sales trends, and profitability. The goal of this dashboard is to provide clear insights into sales, profit, category performance, and regional trends to support better business decision-making.

Objective Analyze overall sales and profit performance Identify top-performing products and categories Understand regional sales distribution Track key business KPIs Provide data-driven insights through interactive dashboards

Tools Used Power BI Data Modeling DAX (Data Analysis Expressions) Data Cleaning & Transformation (Power Query)

Dashboard Features Total Sales & Profit KPIs Category-wise Sales Analysis Region-wise Performance Time-based Trend Analysis Interactive Filters & Slicers

Key Insights Certain product categories generate higher profit margins. Sales performance varies across regions. Seasonal trends impact overall revenue. Some products have high sales but lower profitability.

Conclusion This project demonstrates my ability to transform raw sales data into meaningful business insights using Power BI. By analyzing sales trends, profitability, and regional performance, I was able to identify key growth opportunities and performance gaps. The dashboard provides a clear and interactive view of business KPIs, helping stakeholders make informed and data-driven decisions. Overall, this project strengthened my skills in data visualization, dashboard design, DAX calculations, and business analysis.

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Interactive Store Sales Analysis Dashboard built using Power BI to analyze sales performance, profit trends, category insights, and regional distribution for data-driven business decisions.

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