Top Power BI Sales Performance Dashboard Ideas 2026 for Business Insights

Enable stakeholders with an engaging Power BI dashboard illustrating key e-commerce performance indicators and patterns. Evaluate sales data, predict forthcoming trends, and formulate knowledgeable approaches to foster business expansion.

The HR-Analytics Attendance Dashboard uses Power Query, DAX Query and Power BI to analyze employee attendance data and provide insights into attendance patterns. The data is cleaned and transformed using Power Query and DAX Query. A dashboard is created with visualizations, measures, filters, and slicers to help HR identify areas for improvement.

This repository showcases my capstone projects, featuring four distinct initiatives that demonstrate my analytical and problem-solving skills. Each project reflects a comprehensive approach to research and execution, addressing unique challenges across various domains. I plan to expand this collection with additional projects in the coming days.

Empower decision-makers with an interactive Power BI dashboard showcasing e-commerce performance metrics and trends. Analyze sales data, forecast future trends, and drive informed strategies for business growth.

Simple and visually interactive PowerBi Sales Dashboard

An end-to-end Power BI analytics practice project exploring global Data Science salary trends, job market dynamics, and hiring funnels. Featuring interactive dashboards, advanced DAX measures, and geospatial analysis to uncover insights into compensation, degree requirements, and industry demand.

Navigating the data job market can feel like a maze with information scattered everywhere. This dashboard (V2.0) is designed specifically for Job Seekers, Job Transitioners, and Job Swappers to cut through the clutter! Using a real-world dataset of 2024 data science job postings rich with details on titles, salaries, and locations.

This dashboard (Data Jobs v3) was created for Job Seekers, Job Transitioners, and Job Swappers to solve a common problem: information about the data job market is scattered and hard to grasp. Using a real-world dataset of 2024 data science job postings (including titles, salaries, and locations) this project provides a single, easy-to-use interfac

This repository contains the complete Power BI dashboard used in the creation of a dashboard for banking analysis. 

Comprehensive Bank Loan Analysis project demonstrating versatility across the full data stack: SQL ETL, Python cleanup, and dynamic reporting in Power BI, Tableau, and Excel. Provides actionable insights into good vs. bad loan performance and risk mitigation.

Project utilizing Artificial Intelligence, NLP with expression cloud modeling, an Attrition propensity panel, and integration with a proprietary CRM.

An end-to-end Excel data analytics project using the AdventureWorks dataset. Built interactive sales dashboards using Power Query, Power Pivot, DAX, PivotTables, and slicers to analyze time trends, product performance, customer behavior, and profitability with clear business insights.

End-to-end Data Analysis on Blinkit sales: SQL for cleaning/KPIs (Fat Content standardization), Python for advanced correlation & predictive modeling, and Power BI for a professional, actionable dashboard.

Power BI project showing various visualizations

A beginner friendly PowerBI dashboard.

About This project leverages data analytics to gain insights into gender diversity and inclusion within the company. The Power BI dashboard and KPIs allow HR and management to track important metrics, identify issues, and make informed decisions to improve the representation and experience of all genders in the workforce.

Data Analysis Report based on Brazilian E-Commerce Public Dataset by Olist

An interactive healthcare analytics dashboard built in Power BI to track billing, treatment costs, insurance coverage, and departmental performance. Utilizes Power Query, DAX, and data visualization techniques to deliver actionable insights for healthcare decision-making.

This dashboard provides a comprehensive overview of hospital bed utilization, doctor feedback volumes, diagnosis distributions, and financial comparisons of different diagnostic services. It aims to facilitate data-driven decisions for hospital management and operations.