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# 📊 End-to-End Sales & Customer Analytics Dashboard
## 🚀 Project Overview
This project demonstrates a **complete data analytics pipeline** from data generation to business insights.
It integrates **Python**, **Azurite (Azure Blob Storage Emulator)**, **MySQL**, and **Power BI** to deliver a fully interactive dashboard with drill-through capabilities.
---
## 🛠 Tech Stack
- **Python** – Automated data generation & ETL
- **Azurite** – Local Azure Blob Storage simulation
- **MySQL** – Relational database for structured storage
- **Power BI** – Interactive dashboard & analytics
---
## 📂 Project Workflow
1. **Data Generation (Python)**
- Synthetic datasets for Customers, Orders, Shipments, and Products.
- Controlled randomness to ensure realistic trends.
2. **Cloud Storage Simulation (Azurite)**
- Datasets uploaded to local Azure Blob storage for cloud ETL simulation.
3. **Database Storage (MySQL)**
- Normalized schema with primary & foreign key constraints.
- SQL scripts for table creation and data insertion.
4. **Visualization (Power BI)**
- KPI Cards: Total Revenue, Orders, Shipments.
- Trend Charts: Monthly Revenue, Sales by Region.
- Slicers: Interactive filtering by Date, Region, and Customer.
- Drill-through Page: Detailed view of individual customer’s purchase history.
---
## 📈 Key Insights
- **Top 10 Customers** contribute **₹X,XX,XXX (~45%)** of total revenue.
- **Region A** faces the highest shipment delays (~Y days avg.).
- **Category Electronics** dominates high-value purchases.
- Monthly revenue peaks observed in **November–December**.
---
## 📸 Dashboard Preview
*(Add your dashboard screenshots here)*
---
## 🧑💻 Setup Instructions
### 1️⃣ Clone Repository
```bash
git clone https://github.com/your-username/sales-customer-analytics.git
cd sales-customer-analytics
Lets Connect:
LinkedIn: https://www.linkedin.com/in/tanmay-sharma-800599373/
Github: https://github.com/Tanu272004/E2E-Sales-Customer-Analytics-Dashboard-End-to-End-pipeline-with-Python-MySQL-Power-BI-.git