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πŸ“Š Mobile Sales Data Analysis with Power BI

πŸ” Overview

This project involves analyzing mobile sales data using Power BI to uncover actionable insights that help drive strategic decisions in marketing, inventory, and sales operations. The dashboard provides a clear, interactive, and real-time view of mobile sales performance across different regions, brands, and time periods.

🧾 Key Features

  • Sales Trend Analysis: Visualizes sales over time (monthly/quarterly) to identify peak seasons and declining periods.
  • Brand Performance: Compares sales by mobile brands and models to recognize best-sellers.
  • Regional Insights: Highlights sales distribution across locations using maps and bar charts.
  • Interactive Filters: Slicers and filters to drill down by region, brand, date, or model.

πŸ“ˆ Visualizations Used

  • Line Charts: Sales trends over time
  • Column Charts: Brand-wise and model-wise comparisons
  • Pie/Donut Charts: Market share distribution
  • Map Visuals: Geo-based sales distribution
  • KPI Cards: Highlight key metrics like Total Sales, Profit, Units Sold, and Average Selling Price

πŸ›  Tools & Technologies

  • Power BI Desktop
  • Excel/CSV as the data source
  • Power Query for data transformation and cleaning

πŸ“Œ Insights Derived

  • Top-performing brands and regions
  • Sales trends and seasonality
  • Profitability by model
  • Opportunities to optimize inventory or promotions

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