Data analysis project on coffee shop sales using PostgreSQL & Power BI. Includes SQL queries for data transformation and a static Power BI dashboard.

The coffee shop sales data analysis project aims to provide insights into the sales performance of a coffee shop chain operating in three different locations. The project utilizes a combination of SQL, Excel, and Power BI to analyze sales data, identify trends, and make data-driven recommendations to improve business operations.

This project automates the end-to-end process of analyzing coffee shop sales data. It uses a Python script to load and clean data into MySQL, performs SQL-based analysis for KPIs, and visualizes the results in Power BI. The dashboard includes interactive visuals with 100% match between SQL results and Power BI charts.

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End-to-End SQL and power BI project for coffee shop sales analysis

A data analysis project exploring sales trends for a coffee shop using SQL. and POWER BI

Data analysis project focused on coffee shop sales using SQL for data extraction and Power BI for visualization.

Coffee Shop Sales Analysis | MySQL + Power BI Dashboard ☕📊 End-to-end data analytics project: SQL queries + interactive Power BI dashboard with insights on sales, orders, categories, and store performance.

Coffee shop sales analysis - End-to-end project using SQL , python, and power BI to analyze revenue trends, customer behavior, and product performance.

Coffee Shop Sales Analysis – Power BI & SQL A Retail & F&B domain project using SQL for data prep and Power BI for interactive dashboards to uncover sales trends, peak hours, and top products for better business decisions.

Data analysis project using SQL and Power BI to explore coffee shop sales performance, customer behavior, and product trends across time, locations, and categories.

A complete data analysis project on Coffee Shop Sales using SQL and Power BI. This repository includes Dashboards for Sales performance. It includes insights on sales trends, customer behavior and Business performance

The Coffee Shop Sales Analysis project aims to analyze sales data from a coffee shop to generate insights, solve KPI (Key Performance Indicator) requirements, and answer specific SQL queries. The project uses advanced DAX (Data Analysis Expressions) functions in Power BI for detailed data analysis and visualization.

Coffee Shop Sales Analysis Using PowerBI + SQL is a data-driven project designed to explore sales performance, customer behavior, and product demand in a coffee shop setting. By leveraging SQL for data extraction and Power BI for visualization, this project provides dynamic insights through interactive dashboards.

Coffee Shop Sales & Customer Insights Dashboard This project presents an end-to-end analysis of coffee shop sales data using SQL, Python, and Power BI. The objective was to extract meaningful business insights from transactional data and present them through an interactive dashboard.

☕ Coffee Shop Sales Analysis — A 3-layer data analytics project using SQL ,Python, and Power BI. SQL cleans and aggregates sales data, Python transforms and analyzes trends, and Power BI visualizes insights with a chocolate-brown theme. Helps identify top products, peak hours, and store performance to boost sales.

The Coffee Shop Sales Analysis project analyzes transactional sales data to uncover insights related to orders, revenue, product performance, customer behavior, and time-based sales trends. The project combines Excel, SQL, and Power BI to deliver an end-to-end business intelligence solution.

This repository contains an end-to-end Coffee Shop Sales Analysis project focused on understanding sales performance, customer behavior, and product trends using data analytics and visualization techniques. The project leverages SQL for data cleaning and analysis and Power BI for interactive dashboard creation, providing clear insight

This project determines the sales report of a coffee shop where the analysis is determined from various queries in SQL and dashboard visualization in POWER BI using various DAX functions from the raw data in EXCEL.

A comprehensive 6-month sales analysis of a multi-store coffee shop using SQL and Power BI. This project includes data cleaning, KPI tracking, MoM performance evaluation and interactive dashboard visualizations to derive actionable business insights.

This project analyzes a coffee shop’s transaction dataset to uncover sales trends, customer behavior, and product performance. It combines SQL queries for data exploration with a Power BI dashboard for interactive visualization. The goal is to demonstrate beginner-to-intermediate level skills in SQL data analysis and Power BI reporting.

Designed a Coffee Shop Sales Analysis project using SQL, Excel, and Power BI. Built a full pipeline from data cleaning and modeling to interactive dashboards, enabling insights on revenue trends, product performance, and customer behavior for data-driven decisions.

A data analysis project using SQL and Power BI to explore coffee shop sales performance. It visualizes key metrics like total sales, orders, and quantity sold, revealing peak hours, top products, and high-performing stores. The dashboard provides actionable insights to boost revenue and optimize business decisions.

This repository presents an analytics project using Bright Coffee Shop’s historical sales data to deliver business insights for a new CEO. It covers revenue, product, and store analysis, with SQL for data processing, Excel/Power BI for visualization, and clear recommendations to guide strategic decision‑making.

☕ This project aims to analyze the sales performance of a coffee shop using SQL for data extraction and Power BI for visualization. The analysis focuses on understanding 📈 sales trends, 📋 order patterns, and 📦 quantity sold over time, along with specific insights into 📍 store locations, 🛍️ product categories, and 📅 day-wise performance.