DataSpark is a data analysis project using Python, SQL, and Power BI to analyze global electronics retail sales, focusing on customer behavior, sales performance, product profitability, and store performance to optimize sales strategies.

Improve sales performance with SPIN methodology insights, local data privacy, and seamless OpenAI integration.

Developed an advanced financial dashboard in Power BI utilizing DAX to compute key metrics such as Total Revenue and Average Revenue, featuring diverse visualisations including pie charts, Treemaps, and ribbon charts for comprehensive financial analysis.

The Supermarket Sales Dashboard offers a concise overview of sales performance, featuring key metrics and detailed analyses by product, category, and time period. Interactive filters enable data-driven decisions to improve profitability and efficiency.

A comprehensive data modeling and analysis project for the 🌍Global Super Store, focusing on database design 🗃️, sales data analysis 📊, and interactive visualizations 📍 using MySQL 🖥️ and Tableau 📈.

This project analyzes sales, profitability, and customer behavior for Global Superstore, a leading international retailer operating in 147 countries. Using Tableau, Python, and Excel, I explored sales trends, regional performance, and product profitability to provide data-driven recommendations.

This repository contains Power BI projects showcasing data analysis and interactive dashboards. Each project includes detailed visualizations and insights on diverse topics such as loan analysis, sales performance, and customer behavior.

This project provides a comprehensive experience in data analysis, specifically focused on generating sales insights for a computer hardware manufacturer, ALGO Hardware.

A web-based Sales Analysis System designed to provide insights into sales performance. Features include daily sales tracking, sales vs labor analysis, trend reports, and forecasts. Built with React, .NET, and MS-SQL for real-time data visualization and actionable reports to optimize sales strategies.

Data analysis of AdventureWorks' sales performance from July to December 2017

The project aims to provide in-depth insights into Kimia Farma business sales performance from 2020 to 2023 through detailed data analysis. What was required to working on this project was importing dataset into BigQuery, created a analysis table, and created a dashboard using Looker Studio for Data Visualization.

This project presents a Power BI dashboard analyzing sales performance in the food and beverages sector. It includes insights into total revenue,order trends, product performance, sales channels and individual salesperson contributions. Key KPIs such as average ticket price and quarterly order growth are visualized to support data driven decisions.

A project analyzing coffee shop sales using Excel, including data cleaning, visualization, and insights for better decision-making.

This repository contains the analysis of Iowa liquor retail sales data, aimed at uncovering sales trends and forecasting future sales patterns. The project involves data cleaning, preparation, and advanced time series analysis using Microsoft SQL Server and Google Colab.

Sales Map App offering visual dashboards to monitor targets, team performance, and territory results.

Example Implementation of Dashboard Development and Its Business Analysis