Skip to content

This Pizza Sales Analysis project aims to provide valuable insights into pizza sales performance using data analytics techniques. The project involves cleaning, visualizing, and analyzing sales data to identify patterns and trends that can help optimize business strategies tools using powerbi and sql.

Notifications You must be signed in to change notification settings

Madhuresh2011/Pizza-Sales-Analysis-Using-SQL-And-Power-BI

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Pizza-Analysis-Project-Using-SQL-And-Power-BI

1ST

The raw data for this project is presented in 4 CSV files. This data represents a year’s worth of sales for a pizza outlet, and they need to answer a few questions which will help them make important decisions to increase sales and improve their business.

The project is done in Microsoft SQL server and presented in Power BI. The data was loaded into 4 tables. This project involves the use of simple joins and sub-queries.

Data source:

You can download the data from https://www.kaggle.com/datasets/mysarahmadbhat/pizza-place-sales

A zip file is also included in this repository.

Data Analysis This project was done on SQL .

Data Visualization Data visualization was done in Microsoft Power BI

QUESTIONS TO BE ANSWERED:

KPIs

  1. Total Revenue (How much money did we make this year?)
  2. Average Order Value
  3. Total Pizzas Sold
  4. Total Orders
  5. Average Pizzas per Order

QUESTIONS TO ANSWER

  1. Daily Trends for Total Orders
  2. Hourly Trend for Total Orders
  3. Percentage of Sales by Pizza Category
  4. Percentage of Sales by Pizza Size
  5. Total Pizzas Sold by Pizza Category
  6. Top 5 Best Sellers by Total Pizzas Sold
  7. Bottom 5 Worst Sellers by Total Pizzas Sold

FINDINGS:

KPIs

  1. Total Revenue for the year was $817,860
  2. Average Order Value was $38.31
  3. Total Pizzas Sold – 50,000
  4. Total Orders – 21,000
  5. Average Pizzas per Order – 2

ANSWER TO QUESTIONS

  1. The busiest days are Thursday (3239 orders), Friday (3538 orders) and Saturday (3158 orders). Most sales are recorded on Friday
  2. Most orders are placed between 12pm to 1pm, and 5pm to 7pm
  3. Classic pizza has the highest percentage sales (26.91%), followed by Supreme (25.46%), Chicken (23.96%) and Veggie (23.68%) pizzas
  4. Large size pizzas record the highest sales (45.89%) followed by medium (30.49%), then small (21.77%). XL and XXL only account for 1.72% and 0.12% respectively
  5. Classic Pizza accounts for the highest sales (14,888 pizzas) followed by Supreme (11,987 pizzas), Veggie (11,649 pizzas) and Chicken (11,050 pizzas)
  6. Top 5 Best Sellers are the Classic Deluxe (2453 pizzas), Barbecue Chicken (2432 pizzas), Hawaiian (2422), Peperoni (2418 pizzas) and Thai Chicken (2371 pizzas)
  7. Bottom 5 Worst Sellers are Brie Carre (490 pizzas), Mediterranean (934 pizzas), Calabrese (937 pizzas), Spinach Supreme (950 pizzas) and Soppressata (961).

CONCLUSION:

-- The outlet should capitalize on Large size Classic, Supreme, Veggie and Chicken pizzas.

-- Since XL and XXL pizzas account for such a small percentage of their sales (just 1.94%), they can safely get rid of these pizza sizes.

-- Even though the Brie Carre pizza is the worst seller, it recorded 490 pizzas sold. It would still be a good idea to keep it in the menu.

About

This Pizza Sales Analysis project aims to provide valuable insights into pizza sales performance using data analytics techniques. The project involves cleaning, visualizing, and analyzing sales data to identify patterns and trends that can help optimize business strategies tools using powerbi and sql.

Topics

Resources

Stars

Watchers

Forks