revenue-trends

Hands-on SQL data analysis project for music store. Enhance proficiency with database queries. Ideal for practitioners seeking real-world analytics experience. Gain insights into customer behavior, revenue trends, and genre preferences, empowering strategic decision-making in the music industry. Explore the project for a rich learning experience.

This dataset includes detailed records of pizza sales, such as order dates, pizza categories, sizes, quantities, prices, and total revenue. It’s useful for exploring sales trends, analyzing customer preferences, and generating insights for business decisions in the food industry.

FinancialTrendAnalyzer helps analyze and visualize sales data to uncover financial trends. It uses Python to calculate total sales, track changes, and generate insightful charts for better decision-making.

A comprehensive Power BI dashboard providing analytical insights into movie industry data including box office performance, ratings, genres, director/actor metrics, and trends. Analyzes budget vs revenue, release timing impact, and audience preferences.

This repository contains configuration files for analysing & visualising data obtained from Southern Prefecture Restaurant.

AI Earnings Analyst automates earnings news monitoring with n8n, Google News RSS, Gemini AI and Slack. It extracts key financial insights like revenue trends, guidance and earnings surprises, filters high-impact updates, logs results and sends real-time Slack alerts for important market-moving news.

SQL-based coffee shop sales analysis to uncover insights on revenue, trends, product performance, and store metrics for data-driven decision-making and optimization.

A Power BI dashboard for analyzing ecommerce sales, revenue trends, customer behavior, and key performance indicators (KPIs). Includes interactive visualizations for better decision-making.

This project analyzes retail footwear sales data from 2017 to 2024 to identify trends, optimize inventory, refine pricing strategies, and improve operational efficiency. By applying data cleaning, exploratory analysis, and forecasting, it provides actionable recommendations for seasonal demand planning, profitability, and product performance.

A Tableau sales and customer analysis dashboard showcasing sales trends, KPIs, and customer insights using Non-EU dataset.