The Sales Dashboard 2023 project leverages Power BI to analyze and visualize sales data, offering insights into monthly performance, weekday vs. weekend trends, and event-related sales impacts. This dashboard aims to enhance decision-making by highlighting key sales patterns across different categories, channels, and regions.

A collection of analytical projects and exercises

Welcome to my Power BI playground! Get ready to explore a delightful collection of dashboards and reports I crafted while learning of Power BI.

This Dashboard Features include interactive visualizations, drill-down capabilities, real-time updates, and a user-friendly interface for data-driven decision-making in healthcare.

This project leverages Power BI to provide comprehensive data analytics and visualization solutions for AtliQ Hardware, helping the company make data-driven decisions in finance, sales, marketing, and supply chain. It follows best practices in data modeling, ETL processes, and user acceptance testing to ensure high-quality, actionable insights.

Ecommerce Dashboard

Dashboard creation of hotel chain using power BI to analyze the business and customer satisfaction.

Distributed Automation for XNAT

This project involves analyzing and creating a EV Dashboard using power BI to help the clients understand its business growth by KPI and related charts.

Deploy advanced analytics using PowerBI to enhance decision making process for a consumer electronics firm

Liguagem DAX, M e explicação de funcionalidades do Power BI

Welcome to the Power BI Projects Repository crafted by Tejas. The project utilized Power BI to analyze CSV-based employee data, offering insights into performance and attrition, aimed at enhancing employee retention and satisfaction.

Power BI & Tableau Projects

Designed interactive dashboard showcasing total sales,sum of sales by category wise,etc to enhance data-driven decision-making capabilities.

This project extracts and cleans raw YouTube data from excel-csv (Kaggle) through SQL and identifies the top-performing UK-based YouTubers. Data Stack: Excel | Microsoft SQL Server | Power BI