Cracking the sales secrets: A deep dive into Maven toys with SQL
Driven by a passion for data analysis, I embarked on a project to unlock valuable insights from the Mexico Toy Sales dataset on Kaggle. Using SQL as my key tool, I delved into sales trends, customer preferences, and product performance to provide actionable intelligence for Maven Toys.
My SQL expertise in action:
- Data cleaning & validation: Ensured data integrity by meticulously checking for null values, duplicates, and referential inconsistencies.
- Table integration: Streamlined analysis by combining relevant tables (Products, Sales, Stores) through well-crafted joins.
- In-depth analysis: Uncovered key trends using SQL queries, including:
- Year-over-year sales growth (2023 surpassing 2022 despite missing data)
- Shift in top-selling category (Arts & Crafts in 2023 vs. Toys in 2022)
- Store performance analysis (Downtown leading in sales but with lower profit margins)
- Weekend vs. weekday sales patterns
- Forecasting future sales: Estimated sales figures for October-December 2023 using historical data.
- Utilizing advanced techniques: Employed Common Table Expressions (CTEs) to identify missing data points.
Project impact:
This project showcased the power of SQL in extracting meaningful insights from real-world data. The findings can empower Maven Toys to make data-driven decisions, such as:
- Optimizing product offerings based on customer preferences.
- Tailoring marketing strategies to specific store locations and sales patterns.
- Improving inventory management by forecasting future sales trends.
Beyond the data:
This project not only demonstrates my technical proficiency in SQL but also highlights my ability to translate data into valuable business intelligence. I’m confident that my SQL expertise can be a valuable asset in helping businesses unlock the power of their data.
Unlock the full story behind the analysis with the SQL queries and methodology in detail here: SQL Project – Insights for Maven Toys Sales