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This project analyzes pizza sales data using SQL to uncover trends, customer preferences, and business insights. It includes data cleaning, querying, and generating insights to support decision-making.

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adityakishor1/Pizza-Sales-Insights-with-SQL

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Pizza-Sales-Insights-with-SQL

  • 📊 SQL Data Analysis: Leveraged SQL to perform a comprehensive analysis of pizza sales data, extracting critical metrics to drive strategic insights.

  • 📈 Trend Discovery: Identified customer preferences, peak sales periods, and product performance, uncovering key trends to inform sales strategies.

  • 💡 Optimization Strategies: Provided actionable recommendations to optimize sales operations, resulting in increased efficiency and higher revenue potential.

  • 🎯 Data-Driven Insights: Pinpointed opportunities for growth by interpreting patterns in customer behavior and product demand.

  • 🚀 Business Growth: Delivered valuable insights that contributed to enhanced business operations and improved decision-making, leading to greater profitability.

linkedin post link:- https://www.linkedin.com/posts/aditya-kishor-sharma_pizzahutsales-sql-activity-7222503235352215553-i5mf?utm_source=share&utm_medium=member_desktop

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This project analyzes pizza sales data using SQL to uncover trends, customer preferences, and business insights. It includes data cleaning, querying, and generating insights to support decision-making.

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