🍕 SQL Pizza Sales Analysis Project 🍕 I recently completed an exciting SQL project analyzing pizza sales data to drive better business strategies and improve decision-making. This hands-on project focused on database management and querying, revealing critical insights into sales trends, customer preferences, and operational efficiency in the pizza industry.
Project Highlights and Objectives
- Database Design:
Created a relational database schema named Pizzahut to organize pizza sales data effectively. Designed tables including order_details, orders, pizzas, and Pizza_types for comprehensive data management. 2. Data Cleaning and Preparation:
Processed and prepared raw data to ensure accuracy, addressing inconsistencies, missing values, and outliers. 3. Querying and Analysis:
Extracted actionable insights using SQL, such as: Identifying the top-selling pizzas by quantity and revenue. Understanding customer preferences based on their order history. Analyzing sales performance over different timeframes and locations. 4. Performance Optimization:
Implemented indexing and query optimization techniques to enhance database efficiency, enabling quick data retrieval from large datasets. Technologies Used SQL: For querying and managing the database. SQLite: For database implementation and testing. This project emphasized my ability to design and optimize databases while translating raw data into insights that can guide strategic decision-making. It further showcased my technical expertise in SQL and my capability to contribute to the success of a fast-paced, competitive industry like pizza 🍕.
#MySQL #DataAnalytics #PizzaSalesAnalysis SQL Pizza Sales Analysis .pptx