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πŸ• Pizza Sales Analysis Dashboard (Excel + SQL Server)

🎯 PROJECT OBJECTIVE

To analyze pizza sales data and create an interactive dashboard that provides actionable business insights. The objective is to help decision-makers track sales performance, identify trends, and optimize business strategies.

πŸ“‚ DATASET USED

Dataset Name: Pizza Sales Data

Source: Provided via Google Drive Access the dataset on Google Drive

❓ KEY BUSINESS QUESTIONS ADDRESSED

What is the total revenue generated from pizza sales?

What is the average order value?

How many pizzas were sold in total?

What is the total number of orders?

How many pizzas are sold per order on average?

What are the daily and hourly order trends?

What is the sales distribution by pizza category and size?

Which are the top 5 best-selling pizzas?

Which are the bottom 5 worst-selling pizzas?

πŸ’‘ INSIGHTS FROM THE DASHBOARD

Revenue Trends: Clear identification of high and low sales periods based on day and time.

Category Performance: Top-performing pizza categories and sizes highlighted through charts.

Product Popularity: Best-selling pizzas identified for inventory and marketing focus.

Low Performers: Underperforming pizzas revealed for potential menu optimization.

πŸ›  TOOLS & TECHNOLOGIES USED

Microsoft Excel:

Pivot Tables

Charts (Bar, Line, Pie, Funnel)

Power Query for database connection

SQL Server:

Database Management

T-SQL Scripts for Data Preparation and Analysis

view Dashboard screenshot

View Live Dashboard

About

An interactive Pizza Sales Analytics project built using SQL Server for data processing and MS Excel for dynamic dashboarding. The project uncovers key insights about sales performance, customer behavior, and product profitability to support data-driven decision-making for restaurant operations.

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