Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/oneblack333/pizza_sales_analysis
The project involves transforming raw pizza sales data into actionable business intelligence through analysis and visualization. This enables pizza business owners to make data-driven decisions on inventory, staffing, and marketing, ultimately improving performance and profitability.
https://github.com/oneblack333/pizza_sales_analysis
data data-structures data-visualization excel mysql powerbi
Last synced: 7 days ago
JSON representation
The project involves transforming raw pizza sales data into actionable business intelligence through analysis and visualization. This enables pizza business owners to make data-driven decisions on inventory, staffing, and marketing, ultimately improving performance and profitability.
- Host: GitHub
- URL: https://github.com/oneblack333/pizza_sales_analysis
- Owner: OneBlack333
- Created: 2024-07-11T15:23:12.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2024-08-27T15:19:02.000Z (3 months ago)
- Last Synced: 2024-08-27T16:55:43.420Z (3 months ago)
- Topics: data, data-structures, data-visualization, excel, mysql, powerbi
- Homepage:
- Size: 4.13 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Pizza-Sales-&-Inventory-Analysis-MySQL-Power-BI
The project involves transforming raw pizza sales data into actionable business intelligence through analysis and visualization. This enables pizza business owners to make data-driven decisions on inventory, staffing, and marketing, ultimately improving performance and profitability.
## Key Features
- PowerBI to extract and transform data.
- Power Query in Power BI to removes columns, replace values, add columns remove duplicates.
- Compare results from MySQL vs Power Query.
- Power BI reports and dashboards to visualize sales trends and customer insights.
- Insights into best selling pizzas, toppings, customer preferences and more.
## Built Using
- MySQL - As the database to store sales data.
- MySQL - To extract and transform data.
- Power BI - Power BI reports for analysis and Transform Data.
## MySQL Queries File Contains SQL Queries and results screenshots:
[[Pizza Sales SQL Queries.docx](https://github.com/DataVizExpert-Sham/Pizza-Shop-Sales-Analysis-SQL-Power-BI/files/14177623/Pizza.Sales.SQL.Queries.docx)](https://github.com/OneBlack333/Pizza_Sales_Analysis/blob/main/pizza_sales_queries.sql)
## Benefits
- Compare ETL techniques using MySQL vs Power Query.
- Understand performance and limitations of each approach.
- Gain insights into pizza sales trends, customer preferences and more.
- Optimize menu, ingredients and marketing based on analysis.
This dashboard in Power BI shows an overview of total sales, top pizzas sold and sales by Pizza type.
## Analysis provides insights to:
- Large pizzas account for approximately 50% of sales, followed by medium pizzas at 31% and regular pizzas at 22%.
- During the rainy season in India, from July to October, overall sales decline because people prefer to stay indoors.
- The classic pizza category receives more orders and generates higher revenue, totaling 2.2 lakh and 11 thousand orders, respectively
- The number of people eating pizza on Thursdays has remained consistent over the years compared to other days.
- The Thai chicken pizza generates more revenue, it ranks third in terms of sales due to its higher price. On the other hand, the classic deluxe pizza generates less revenue but sells more because of its lower price.
## Conclusion
- To increase sales, we should reduce the prices of pizzas that have lower sales but higher prices.
- During the rainy season, home delivery of pizza may boost sales of the product.
- Purchase ingredients in advance during peak periods and reduce them during the rainy season.
- Offer coupons and bonuses during the rainy season to attract customers.
Hope this helps! Let me know if you have any other questions.