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How is the overall business performing in terms of **revenue, profit, and orders**?  \n2. What are the key **monthly trends** in customer acquisition and revenue?  \n3. Which **product categories** drive the most revenue and profitability?  \n4. How do **customer demographics (age, gender, repeat status)** impact sales?  \n5. What are the insights on **distribution centers and operations efficiency**?  \n\n---\n\n## 🛠️ Tools \u0026 Technologies\n- **BigQuery SQL** → Data extraction, transformation, and summary tables  \n- **Google Looker Studio** → Dashboard design \u0026 visualization  \n- **GitHub** → Project documentation \u0026 version control  \n- **Google Sheets/Docs** → For supporting documentation  \n\n---\n\n## 📂 Project Structure\n\n- **sql_queries/** (All SQL scripts)  \n  - [orders_lifecycle_summary.sql](sql_queries/orders_lifecycle_summary.sql)  \n  - [revenue_summary.sql](sql_queries/revenue_summary.sql)  \n  - [monthly_revenue.sql](sql_queries/monthly_revenue.sql)  \n  - [products_summary.sql](sql_queries/products_summary.sql)  \n  - [customer_summary.sql](sql_queries/customer_summary.sql)  \n  - [distribution_operations_summary.sql](sql_queries/distribution_operations_summary.sql)  \n  - [order_stage_summary.sql](sql_queries/order_stage_summary.sql)  \n\n- **docs/** (Documentation)  \n  - [business_questions.md](docs/business_questions.md)  \n  - [data_pipeline.md](docs/data_pipeline.md)  \n  - [methodology.md](docs/methodology.md)  \n  - [recommendations.md](docs/recommendations.md)  \n\n- **Dashboard/** (Dashboard screenshots)  \n  - [page1_overview.png](dashboard/page1_overview.png)  \n  - [page2_products.png](dashboard/page2_products.png)  \n  - [page3_customers.png](dashboard/page3_customers.png)  \n  - [page4_operations.png](dashboard/page4_operations.png)  \n  - [dashboard_overview.pdf](dashboard/dashboard_overview.pdf)  \n\n- **README.md** → Project overview (this file)  \n\n---\n\n## 📊 Dashboard Pages\nExplore the full interactive dashboard here:  \n👉 [TheLook E-Commerce Dashboard](https://lookerstudio.google.com/s/m2vkZuDORB4)\n\nThe dashboard is divided into 4 pages:\n\n1. **Business Overview** → Revenue, profit, orders, order stages  \n2. **Product Insights** → Revenue by category, top products, monthly product revenue  \n3. **Customer Insights** → Demographics, repeat customers, age buckets  \n4. **Distribution \u0026 Operations** → Revenue \u0026 orders by distribution centers, operational metrics  \n\n---\n\n## 🔑 Key Insights\n- Revenue is strongly driven by **Men’s category**, followed by **Women’s**.  \n- **Repeat customers** form a significant share of revenue growth.  \n- Older age groups **(55+) dominate** purchases.  \n- Distribution centers vary in performance, highlighting opportunities for **logistics optimization**.  \n\n---\n\n## 🚀 How to Reproduce\n1. Connect to **BigQuery public dataset**: `bigquery-public-data.thelook_ecommerce`  \n2. Run the queries from [`sql_queries/`](sql_queries/) to create staging and summary tables.  \n3. Import summary tables into **Looker Studio**.  \n4. Rebuild dashboard pages using charts, tables, and filters.  \n5. Compare insights with documentation in [`docs/`](docs/).  \n\n---\n\n## 📈 Recommendations\n- Improve **repeat customer retention strategies** (loyalty programs).  \n- Optimize **distribution center load balancing**.  \n- Focus on **high-revenue categories** while reducing underperforming products.  \n- Leverage **age bucket segmentation** for targeted marketing.  \n\n---\n\n## 📑 References\n- Data Source: [TheLook E-Commerce Public Dataset](https://console.cloud.google.com/marketplace/details/bigquery-public-data/thelook-ecommerce)  \n- Google BigQuery Documentation  \n- Looker Studio Documentation  \n\n---\n\n## 👤 Author\n**Narasimha Kasu**  \n📧 *narasimha.kasu9@gmail.com*  \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnarasimhakasu%2Fthelook-ecommerce-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnarasimhakasu%2Fthelook-ecommerce-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnarasimhakasu%2Fthelook-ecommerce-analysis/lists"}