https://github.com/varshan1123/sql-tableau-project
We analyze key indicators for our pizza sales data to gain insights into our business performance - A Data Analysis Project performed on Tableau & SQL.
https://github.com/varshan1123/sql-tableau-project
analysis data-analysis data-science data-visualization excel mysql powerbi sql sql-server tableau tableau-dashboards
Last synced: 10 months ago
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We analyze key indicators for our pizza sales data to gain insights into our business performance - A Data Analysis Project performed on Tableau & SQL.
- Host: GitHub
- URL: https://github.com/varshan1123/sql-tableau-project
- Owner: Varshan1123
- Created: 2024-01-17T12:37:29.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-01-17T13:53:00.000Z (about 2 years ago)
- Last Synced: 2025-02-08T16:14:10.362Z (12 months ago)
- Topics: analysis, data-analysis, data-science, data-visualization, excel, mysql, powerbi, sql, sql-server, tableau, tableau-dashboards
- Homepage:
- Size: 1.77 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Sales Insights - Data Analysis using Tableau & SQL
We analyze key indicators for our pizza sales data to gain insights into our business performance - A Data Analysis Project performed on Tableau & SQL.
## Technologies used ⚙️:
- MySQL
- SQL Server
- Tableau
- Power BI
- MS Excel
- Statistics
## Problem Statements & Approach:
- Total Revenue: The sum of the total price of all pizza orders.
- Average Order Value: The average amount spent per order, calculated by dividing the total revenue by the total number of orders.
- Total Pizzas Sold: The sum of the quantities of all pizzas sold.
- Total Orders: The total number of orders placed.
- Average Pizzas Per Order: The average number of pizzas sold per order, calculated by dividing the total number of pizzas sold by the total number of orders.
**We would like to visualize various aspects of our pizza sales data to gain insights and understand key trends**
- Hourly Trend for Total Pizzas Sold:
Create a stacked bar chart that displays the hourly trend of total orders over a specific time period. This chart will help us identify any patterns or fluctuations in
order volumes on a hourly basis.
- Weekly Trend for Total Orders:
Create a line chart that illustrates the weekly trend of total orders throughout the year. This chart will allow us to identify peak weeks or periods of high order
activity.
- Percentage of Sales by Pizza Category:
Create a pie chart that shows the distribution of sales across different pizza categories. This chart will provide insights into the popularity of various pizza
categories and their contribution to overall sales.
- Percentage of Sales by Pizza Size:
Generate a pie chart that represents the percentage of sales attributed to different pizza sizes. This chart will help us understand customer preferences for pizza sizes
and their impact on sales.
- Total Pizzas Sold by Pizza Category:
Create a funnel chart that presents the total number of pizzas sold for each pizza category. This chart will allow us to compare the sales performance of different pizza
categories.
- Top 5 Best Sellers by Revenue, Total Quantity and Total Orders
Create a bar chart highlighting the top 5 best-selling pizzas based on the Revenue, Total Quantity, Total Orders. This chart will help us identify the most popular pizza
options.
- Bottom 5 Best Sellers by Revenue, Total Quantity and Total Orders
Create a bar chart showcasing the bottom 5 worst-selling pizzas based on the Revenue, Total Quantity, Total Orders. This chart will enable us to identify underperforming
or less popular pizza options.
## Tableau Dashboard :
- An dashboard providing quick & latest sales insights in order to support data driven decision making.
- Dynamic Dashboard.
- Dashboards uncovering sales order insights with latest data available.
- Sales team able to take better decision & cost savings of total spend.
