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pipeline from raw extraction to visual storytelling\n\u003c/p\u003e\n\n---\n\n## 🔍 Overview\n\nWelcome to the **Sales Report Analysis** project — a full-cycle analytical workflow that extracts, processes, and visualizes sales data to uncover trends, growth patterns, and business opportunities using:\n\n\u003e 🐍 Python | 🗃️ SQL | 📈 Power BI\n\nThis project helps businesses make **data-backed decisions** through **insightful dashboards** and KPIs that are clear, interactive, and tailored for action.\n\n---\n\n## 📸 Power BI Dashboard Snapshots\n\n### 🟩 Executive Overview \u0026 Sales Trends  \nA high-level summary showing key KPIs, revenue trends, and time-based performance for quick decision-making.\n\n![Executive Overview](./Sample%20pics/pic1.png)\n\n---\n\n### 🟦 Product \u0026 Channel Performance  \nVisual analysis of product categories, sales channels, and their contribution to revenue.\n\n![Product \u0026 Channel](./Sample%20pics/pic2.png)\n\n---\n\n### 🟪 Geographical \u0026 Customer Revenue Insights  \nInsights into region-wise sales distribution and customer segmentation based on revenue contribution.\n\n![Geographical \u0026 Customer](./Sample%20pics/pic3.png)\n\n---\n\n## 🧰 Tech Stack\n\n| Tool        | Purpose                                 |\n|-------------|------------------------------------------|\n| 🐍 Python   | Data cleaning, EDA, preprocessing        |\n| 🗃️ SQL      | Data extraction, joins, aggregations     |\n| 📈 Power BI | Visual dashboards, KPIs, storytelling    |\n\n---\n\n## 🚀 Objectives\n\n- 📊 Track **monthly \u0026 yearly sales trends**\n- 🧠 Discover **top-performing products \u0026 regions**\n- 🔍 Analyze **customer segments \u0026 buying behavior**\n- 🎯 Visualize **KPIs** like revenue, growth, retention\n\n---\n\n## 🧱 Project Structure\n\n```bash\nSales-Report-Analysis/\n├── data/             # Raw and cleaned datasets\n├── notebooks/        # Python notebooks for EDA \u0026 transformation\n├── sql/              # SQL queries used for data extraction\n├── Sample pics/      # Power BI dashboard screenshots\n│   ├── pic1.png\n│   ├── pic2.png\n│   └── pic3.png\n└── README.md         # Project documentation\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhruth-vik%2Fsales-analysis-report","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhruth-vik%2Fsales-analysis-report","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhruth-vik%2Fsales-analysis-report/lists"}