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๐Ÿ“Š Business Sales Dashboard โ€“ E-commerce Analytics

Unlocking Insights from Superstore Sales Data

This project showcases an interactive Power BI dashboard built from e-commerce sales data, designed to help businesses make data-driven decisions.

๐Ÿ” Key Insights

Top-Selling Products: Identify the products driving the highest revenue.

Seasonal Trends: Visualize peak sales periods across months and years.

Category-wise Revenue: Understand which product categories contribute most to overall sales.

Regional Performance: Compare sales performance across different countries and regions.

๐Ÿ› ๏ธ What I Did

Data Cleaning & Transformation: Processed raw CSV data to ensure accuracy and usability.

Analysis: Explored total sales by year, category performance, and country-level insights.

Dashboard Development: Created an interactive Power BI dashboard with filters, KPIs, and dynamic visuals.

Business Storytelling: Presented insights in a clear, actionable format for decision-makers.

๐ŸŽฏ Skills Gained

Data Preparation: Power BI & Excel for data cleaning and transformation

Analytics: Time series trend analysis & category segmentation

DAX: Calculated KPIs and metrics for performance tracking

Visualization & Storytelling: Conveyed complex data insights through interactive visuals

๐Ÿš€ Impact

Empowered stakeholders to identify revenue opportunities and optimize product strategy.

Provided a visual and interactive overview of sales trends for quicker business deci

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