SVG para Power BI
Reporte de Power BI con ideas geniales de imágenes SVG para utilizar en tablas, matrices y tarjetas avanzadas: Si quieres ver los videos, ingresa a nuestro canal de YouTube Power BI Masters y a la lista de reproducción Curso: Gráficas SVG para Power BI Te enseñamos a diseñar y usar gráficas SVG para Power BI de tipo barras, lollipop, IBCS, gauge y muchas más Y si quieres aprender a diseñar reportes como un profesional, puedes ingresar a nuestras páginas: simplificasolutions.com y powerbimasters.net SI quieres descargar el reporte, en YouTube te damos las indicaciones. NO olvides seguirnos. Agradecemos cualquier comentario o sugerencia para seguir modificándolo. Tenemos 7 reportes publicados en la comunidad: Simplifica: Colores básicos estilo Microsoft. Simplifica - Otoño - autumn: Versión actualizada de este reporte con colores de Otoño. Infographic-Designer-Report: ejemplos de combinaciones que pueden realizarse con Infographic COVID-19 Report Colombia: Estado actual de COVID-19 en colombia y el mundo. Titanic Data Analysis: Análisis de datos sobre el hundimiento del Titanic. Games of Thrones Report Analysis: Análisis de datos de las 8 temporadas de Juego de Tronos. Análisis PIB Per Capita - Banco Mundial: Análisis mundial de PIB per capita según el banco mundial a corte del 2021 Agradecemos sus kudos y comentarios. In English: Power BI report with cool SVG image ideas to use in advanced tables, matrices, and cards: If you want to see the videos, go to our YouTube channel Power BI Masters and the playlist Curso: Gráficas SVG para Power BI Teach you how to design and use SVG graphs for Power BI such as bars, lollipop, IBCS, gauge and many more. And if you want to learn how to design reports like a professional, you can visit our pages: simplificasolutions.com y powerbimasters.net If you want to download the report, we give you instructions on YouTube. DON'T forget to follow us. We appreciate any comments or suggestions to continue modifying it. We have 7 reports published in the community: Simplifica: Basic Microsoft style colors. Simplifica - Otoño - autumn: Updated version of this report with Autumn colors. Infographic-Designer-Report: Examples of combinations that can be done with Infographic. COVID-19 Report Colombia: Current state of COVID-19 in Colombia and the world. Titanic Data Analysis: Analysis of data on the joining of the Titanic. Games of Thrones Report Analysis: Data analysis of the 8 seasons of Game of Thrones. Análisis PIB Per Capita - Banco Mundial: PIB per capita analysis - World Bank We appreciate your kudos and comments. eyJrIjoiMWVhYjBkOWItNjBjNy00YzhmLThkM2UtOTMyNjZkNjQ1ZWZkIiwidCI6IjM2OTBjNGY3LTIyYzgtNDRkYy04YjljLTc1YzAwYzE0NzczZiIsImMiOjR9
Global Financial Analytics Dashboard
Global Financial Analytics Dashboard 🚀 Interactive Power BI Financial Dashboard built using a large-scale financial dataset containing over 50,000+ records. This dashboard provides comprehensive insights into financial performance, revenue trends, profit analysis, expense tracking, and key business KPIs through advanced data visualization techniques. Key Features: ✔ Revenue & Profit Analysis ✔ Financial Performance Monitoring ✔ KPI Tracking & Executive Summary ✔ Regional & Category-Based Analysis ✔ Interactive Filters and Drill-Through Reports ✔ Dynamic Data Modeling & DAX Measures ✔ Professional Data Cleaning & Transformation using Power Query ✔ Advanced Power BI Visualizations eyJrIjoiNWI3OWU3NmQtMjA2Yi00MzY0LTlhNzQtODc5MzUzOWQwMjM2IiwidCI6IjI0MWNlN2VlLTVjYmUtNDczNi1hYWM0LWZkOWZmM2NjMWRkMSIsImMiOjl9Trucking Operations Analytics - From Data to Decisions
I’m excited to share this interactive portfolio project, a landing page that centralizes all operational analytics in one place. It's designed for both executives and operations leaders. A 16-minute walkthrough of the solution is available on YouTube. This report delivers an app-like experience with intuitive navigation, KPI scorecards, ranking logic, and scenario modeling across key operational domains including driver performance and tiering. The focus was not just reporting, but decision enablement by ranking drivers fairly, identifying unprofitable lanes, quantifying the cost of downtime, and supporting “what-if” operational scenarios. Three year customer revenue history with YoY variance and CAGR calculation to support strategic financial planning and account prioritization. It also quantifies detention impacts using a 2-hour free wait policy and dynamic rate parameters. Which enables real-world analysis for evaluating contract terms, detention policies, and earnings impact. It's built with an end-to-end analytics first modeling, and C-suite executive ready visuals. Along with a complete documentation page defining all KPI formulas, owners, and data sources to ensure trust, transparency, and governance. This solution demonstrates how Microsoft Fabric, a modern data platform can drive operational efficiency, cost optimization, and performance accountability at scale. I’d value the community’s perspective on the following: Among the pages in this solution, which one delivers the strongest operational value, and what enhancement would you prioritize next? In your experience, should operational dashboards focus more on KPI tracking, or on explaining why performance is changing? If you were in the logistics industry, what’s the biggest hidden opportunities cost in trucking operations that analytics helped you uncover? Detention, Downtime, Fuel, or Something else? Your insights will directly inform the next iteration of this solution. eyJrIjoiNzI1MDJhNTMtMTk4NS00YzI4LTg4NTItYzcxNDZiYjc0ZWQzIiwidCI6IjNlMjFhMTFlLTc3MDctNDdmOC1iMzRhLTc5YTQ2YTQ0ZTk5MyIsImMiOjF9The Ultimate Power BI Template for Sales & Inventory KPIs
Struggling to keep up with sales trends, inventory levels, and purchasing efficiency? Manual reporting eats up valuable time, while scattered data makes it hard to spot critical insights, leading to stockouts, overordering, or missed sales opportunities. 6 Key Benefits of This Power BI Dashboard: Real-Time Purchase Tracking – Monitor order timelines, quantities, and supplier delays to optimize procurement and avoid stock shortages. Smart Inventory Control – Analyze receiving-to-billing cycles and weekly stock trends to maintain ideal inventory levels and reduce carrying costs. Sales Performance Clarity – Track monthly trends, top customers, and product demand to refine pricing and promotions. Faster Financial Oversight – Streamline billing processes with metrics on average billing days, improving cash flow predictability. Pre-Built KPIs for Quick Decisions – Leverage ready-made metrics (e.g., sales efficiency, customer behavior) without complex analysis. Scalable for Growth – Customize dashboards as your business expands, ensuring insights stay relevant without extra IT effort. No more guesswork, just data-driven decisions at a glance. eyJrIjoiOGJkNzJjZTYtMmFkMy00Y2NlLTlhNzAtYzY2NDE1MzEwYzAxIiwidCI6ImE5NDUyNTg2LTJmNGMtNGNiMS04ZDJlLTI2ODkyODllZTcyNiIsImMiOjl9U.S. Airsoft Market Analysis
📊 From almost no structured data to a complete Power BI market analysis I was approached by people who are considering launching an airsoft business and asked to analyze the U.S. airsoft market, with a particular focus on Washington State. And the biggest challenge became obvious almost immediately: 🔎 There was very little structured market data available. For the first time, I had to use Python not only for analysis, but also for data collection. I gathered information from Google, Facebook, company websites, and other online sources, using APIs where available. 🧩 Collecting the data was only the beginning. This turned out to be one of the most challenging parts of the project. I am not a web-scraping specialist, and the raw data was far from analysis-ready. Business names were inconsistent, categories overlapped, information was missing or outdated, and the same companies could appear differently across multiple sources. Honestly, this part exhausted me. 😅 I started building the Power BI report several times, only to discover another issue in the underlying data and go back to cleaning and validating it again. Eventually, I was able to build a dataset that was consistent enough for analysis. ⚙️ The overall pipeline looked like this: Data Collection → Data Cleaning → Business Verification → Data Enrichment → Pricing & Services Analysis → Customer Review Analysis → Power BI Data Model → Interactive Dashboard → Business Scenario 🇺🇸 U.S. Market The final dataset included 851 U.S. businesses, from which I identified 194 confirmed airsoft operators. I then focused on Washington State, where I verified 10 active game operators and analyzed their locations, pricing, services, ratings, and customer feedback. 📍 Washington Market The analysis showed: 10 verified game operators • $22.50 median published open-play price • 4.8 average Google rating • 1,096 Google reviews across the verified operators 💬 Customer Voice I also analyzed customer review text to understand not just how businesses were rated, but what customers were actually talking about. The analysis highlighted recurring issues around operations & communication, price & value, rental equipment, and consistency in safety & rule enforcement. 📈 From analysis to a business scenario Finally, I brought everything together in Power BI and built an interactive business scenario where assumptions such as daily attendance, operating days, admission price, rental usage, and private bookings can be changed to explore their impact on estimated monthly revenue. 💡 What this project became For me, this project became much more than a Power BI dashboard. It was an end-to-end data project: finding the data → building the dataset → validating it → analyzing it → turning it into something that could support a real business discussion. And, perhaps most importantly, it taught me how much work can happen before the first chart ever appears on a dashboard. 😅 #PowerBI #DataAnalytics #Python #DataVisualization #BusinessIntelligence #MarketResearch #DataAnalysis #PortfolioProjectPainel Executivo de Estoque, Previsão & Reposição | Power BI + DAX + SAP HANA
Compartilho um painel de gestão de estoque para redes de lojas e centros de distribuição. Ele vai além do "quanto tenho em estoque" e responde o que vai faltar, o que comprar hoje e em quem confiar para entregar. São 7 páginas com navegação em abas, no estilo de uma página web: 1. Visão Geral do Estoque — Como está o estoque no período? Valor e quantidade em estoque, cobertura média em dias, giro, itens sem giro há mais de 90 dias, estoque obsoleto, excesso acima da cobertura-alvo e concentração nos 10 maiores itens. Evolução mensal de estoque × cobertura, entradas × saídas, faixas de cobertura e um bloco de **alertas automáticos em texto** que aponta excesso, risco de ruptura e por onde começar a liberar capital. 2. Análise por Item — detalhe por produto e depósito, com movimentos, saldo líquido e drill até o lançamento. 3. Plano de Ação — lista priorizada do que fazer com cada item: repor, segurar compra ou liquidar o excesso. 4. Retorno do Estoque — GMROI, margem bruta, custo de carregamento mensal e quanto o excesso custa por mês, com custo de capital ajustável. 5. Previsão de Estoque — O que vai faltar nas próximas semanas? Itens que acabam em até 30 dias, venda em risco em R$, pedidos de compra em aberto e atrasados, e o estoque projetado semana a semana pelas próximas 12 semanas considerando só os pedidos já feitos. A tabela mostra, item a item, se o pedido resolve, chega tarde ou se não há pedido. 6. Fornecedores — % de entregas no prazo, lead time real × prometido, atraso médio e classificação (Confiável / Atenção / Crítico), cruzando o desempenho do fornecedor com os itens que estão faltando. 7. Ponto de Pedido — O que comprar hoje — e quanto? Estoque de segurança calculado pela variabilidade da demanda **e** do lead time (`Z · √(LT·σd² + d²·σLT²)`), com o nível de serviço escolhido em botões (90%, 95%, 98%, 99%). Mostra ponto de pedido, posição de estoque e a sugestão de compra por item e depósito, além do estoque de segurança em dias de venda por fornecedor. Destaques técnicos - Botão Valor (R$) / Quantidade (un) que troca todas as medidas da página. - Cobertura-alvo e custo de capital como parâmetros what-if. - Cards e alertas com texto e cor dinâmicos (DAX). - Modelo estrela documentado: todas as medidas, colunas e relacionamentos com descrição. - Pronto para SAP Business One e S/4HANA via views no HANA (movimentos, pedidos de compra, recebimentos e fornecedores). *Dados fictícios, usados só para demonstração.*
Customer Segmentation Analysis Report
This Customer Segmentation Analysis report, crafted from four years of sales data, delivers deep insights into sales trends, consumer segmentation, and Customer Lifetime Value (CLV), along with a detailed country-by-country breakdown. Inspired by "Annual Number of Deaths by Cause" from the theme gallery. If you find my report impressive, kindly do give it a Like! eyJrIjoiMzcxMTI3ZDgtZmRlNi00Y2UxLWE3ZmUtMDhmNDc3ZDQyZjQyIiwidCI6ImM0MjMzNjg5LTY2NWYtNDczMC1hNDc4LTQwNGE5MzExNjk5NyJ9Restaurant & Menu Engineering — Analysis
Most dashboards answer questions. Very few tell you what to do on Monday. I rebuilt a restaurant analytics report this week and spent as much time on the narrative as the numbers. What that meant in practice: Every page ends with a written read-out panel. Not a KPI. An actual sentence explaining what the chart means and what it implies. "Labour averages 23.2% of sales, but The Bistro Table runs 60.4%, and it is a scheduling problem, not a menu problem." Colour carries meaning, not decoration. Stars are teal, Plow Horses blue, Puzzles amber, Dogs coral, and those four colours mean the same thing on every page. The menu engineering matrix uses reference lines at the actual portfolio benchmarks, so the quadrants are real thresholds rather than eyeballed corners. The icon set is hand-drawn SVG rather than stock clipart, rendered at 4x so it stays crisp on any display. Shipped in both a dark and a light theme. And a final page that does nothing but list the three model issues I found and the corrected DAX to fix them. If the numbers are wrong, the design is decoration. Six pages. One dataset. 17 venues, 167 menu items. Happy to share the DAX fix pack if it is useful to anyone.PMO Portfolio: From Strategy to Success
What decisions should a PMO make about its live projects? This three-page report turns 36 months of portfolio snapshots (100 projects, 1,696 monthly records) into one clear answer: fund 4, fix 22, pause 5, stop 3, and confirm 18 projects nobody is watching. Pulse: how is the portfolio trending? Health is holding at 84.5, but cost overrun has climbed back to +12.9% and average delay has grown by 15 days in a year. A snapshot slicer lets you rewind any month, and the headlines rewrite themselves. Diagnose: what drives the outcomes? Scope changes, overdue risk mitigations and capacity gaps hurt every outcome. Projects with 2+ scope changes overrun by +22%, against +6% with one. Strategic alignment, priority and budget size show no link to delivery at all. Decide: what should leaders do? Every live project gets a call from five transparent rules, documented in the report's About panel. Two ZoomCharts Drill Down visuals work together: Drill Down Combo Bar PRO compares planned vs forecast return by decision, then drills into the Recover types. Drill Down Scatter PRO maps strategic value against delivery health and filters when you click a bar. The key insight: Recover projects were approved at 2.42× return but are now forecasting 2.05×, so the most valuable work is leaking value while it waits to be fixed. Six sized actions show what to do first, starting with moving 42,076 hours a month from paused and stopped work into recoveries. Built with Power BI · DAX (dynamic snapshot logic, measure-driven decision rules, SVG visuals for panels and dumbbells) · ZoomCharts Drill Down PRO visuals · bookmarks, field parameters and synced slicers 🔗 Interactive report: https://app.powerbi.com/view?r=eyJrIjoiNjU3YTk3NDYtNWRmMC00MzdkLWI1MjEtYWFjYmFlYThmYjBhIiwidCI6IjQ2NTRiNmYxLTBlNDctNDU3OS1hOGExLTAyZmU5ZDk0M2M3YiIsImMiOjl9 Dataset: FP20 Analytics Challenge 41, with ZoomCharts Feedback is very welcome.Student Performance Dashboard Project
Student Performance Dashboard This project is an interactive Student Performance Dashboard developed using Microsoft Power BI to analyze and visualize academic performance through dynamic reports and KPIs. Dashboard Features Overall Student Performance Overview Subject-wise Performance Analysis Gender-wise Performance Analysis Interactive KPI Cards Grade Distribution Analysis Top 5 Performing Students Average Percentage & Highest Percentage Section-wise Performance Comparison Dynamic Charts and Summary Tables Tools & Technologies Microsoft Power BI Power Query DAX (Data Analysis Expressions) Data Modeling Key Insights The dashboard enables users to: Monitor overall student performance. Compare subject-wise academic results. Analyze gender-based performance. Identify top-performing students and grade trends. Make data-driven educational decisions through interactive visualizations. I would appreciate your feedback and suggestions to improve this dashboard. Thank you for taking the time to review my project. Developed by: Syed Raahim Ali Course: Data Analytics & BI eyJrIjoiMGM0OWY1MGUtMTk5Yy00MDNmLTllMDItN2EwNWVlNDU3NGU5IiwidCI6IjI0MWNlN2VlLTVjYmUtNDczNi1hYWM0LWZkOWZmM2NjMWRkMSIsImMiOjl9
