Several SQL projects for various business questions related to a digital music store, with visualizations
Data analysis to actionable business insights (concerning customers, markets, employee performance, inventory and products, etc.)
These are my SQL projects based on the Chinook database, a database for a music store (database schema below). They are modified or generalized from the final projects for the "Intermediate SQL for Data Analysis" course provided by DataQuest. Below, you will find a brief overview of each project.
In this project, I analyze the sales results of different music genres within the digital music store and provide recommendations for future purchases. For more details on this project, see the SQL file "Sales by Genre".
Insights:
- Analysis of genre popularity and sales performance.
- Recommendations for genres and artists the store should invest in.
This project is divided into two parts, as outlined below. For more details on this two-part project, see the SQL file "Sales and Employee Performance by Country".
2.1 Customer Segmentation by Country:
I segment the customers based on their countries and analyze the corresponding sales data.
Insights:
- Identification of high-value markets.
- Strategic recommendations for market-specific promotions.
2.2 Employee Performance Analysis:
The performances of sales representatives are first evaluated in general. Then we investigate if their performances were affected by external factors like the countries of their customers.
Insights:
- Evaluation of sales representatives' efficiency and success rate.
- Recommendations for performance improvements and employee training.
The most complex of the three, this project involves determining the percentage of invoices that contain purchases of entire albums versus individual tracks. This analysis is crucial for making informed business decisions regarding inventory management. For more details on this project, see the SQL file "Business Decision - Albums vs Individual Tracks".
Insights:
- Insights on customer buying patterns.
- Recommendations on whether to focus on selling more albums or individual tracks.