SQL_DataAnalytics_project

Welcome to the SQL_DataAnalytics_project! 🚀
This project uses advanced SQL techniques to transform raw data from the [DataAnalyticsWareHouse] database into actionable insights through cleaning, aggregation, and reporting.

---

Data Analytics Architecture

• Raw Data: Unprocessed transactional and dimensional data.
• Transformed Data: Data is cleaned, aggregated, and segmented using functions, CTEs, and window functions.
• Business-Ready Data: Analytical views and KPIs are generated for reporting and visualization.

---

🚀 How to Use

1. Run SQL Scripts Sequentially:

   • Data Aggregation: Execute scripts like 01_total_sales_by_date.sql and 02_running_total_and_avg_price.sql.
   • Performance Analysis: Execute scripts like 03_yearly_product_performance.sql and 04_category_contributions.sql.
   • Segmentation: Execute scripts like 05_product_segmentation.sql and 06_customer_segmentation.sql.
   • Reporting Views: Execute scripts like 07_gold_customer_reports.sql and 08_gold_product_report.sql.

2. Validate & Explore:
   Run queries such as:

   SELECT TOP 100 * FROM gold_customer_reports;
   SELECT TOP 100 * FROM gold_Product_report;
   

3. Integrate & Visualize:

   The cleaned and aggregated data in the views is ready for use in reporting tools (e.g., Tableau, Power BI) or further SQL analysis.

##🛡️License

This project is licensed under the MIT License – see the LICENSE file for details.

🌟 About Me

I'm an aspiring data professional passionate about turning raw data into actionable insights. Connect with me on