Welcome to my SQL Data Analytics Project!
This repository showcases end-to-end exploratory data analysis and business reporting using SQL Server. The project focuses on transforming raw transactional data into meaningful business insights.
- SQL data cleaning & transformation
- Exploratory Data Analysis (EDA)
- Aggregations & window functions
- Customer and product performance analysis
- Business KPI reporting
- Query optimization & structured query design
- Analytical thinking & insight generation
Below is the roadmap followed during the project:
- Database: Microsoft SQL Server
- Language: SQL (T-SQL)
- Environment: SQL Server Management Studio (SSMS)
- Dataset Type: Sales / Transactional Data Warehouse
This project answers key business questions derived from the final analytical reports.
- Identify the most valuable customers
- Analyze customer purchase frequency and recency
- Measure customer lifetime value indicators
- Understand customer buying behavior
- Evaluate product diversity per customer
- Identify best-selling products
- Measure revenue contribution by product
- Analyze product demand trends over time
- Rank product performance
- Compare quantity sold vs revenue generated
The SQL scripts transform raw sales data into structured analytical outputs that answer these business questions.
sql-data-analytics-project/
│
├── datasets/ # Raw or reference datasets
│
├── documents/
│ └── project_roadmap.png # Project workflow visualization
│
├── scripts/
│ ├── 00_init_database.sql
│ ├── 01_database_exploration.sql
│ ├── 02_dimensions_exploration.sql
│ ├── 03_date_range_exploration.sql
│ ├── 04_measures_exploration.sql
│ ├── 05_magnitude_analysis.sql
│ ├── 06_ranking_analysis.sql
│ ├── 07_change_over_time_analysis.sql
│ ├── 08_cumulative_analysis.sql
│ ├── 09_performance_analysis.sql
│ ├── 10_data_segmentation_analysis.sql
│ ├── 11_part_to_whole_analysis.sql
│ ├── 12_customer_report.sql
│ └── 13_product_report.sql
│
└── README.md
Hi there! I'm Novia Noer Ramdiany. I’m passionate about data and turning raw numbers into meaningful insights.
Let's stay in touch!
Feel free to connect with me on LinkedIn:
🔗 https://www.linkedin.com/in/noviaramdiany/
⭐ If you find this project interesting, feel free to explore the queries and reach out!
