The Finance Dashboard
The Finance Dashboard | Power BI Project 📊 Excited to share my latest Finance Dashboard built using Microsoft Power BI! This project focuses on Financial Data Analytics, Business Intelligence, and Interactive Data Visualization. Key Features: - Total Amount, Tax, Fees & Final Amount KPIs - Country-wise Financial Analysis - Company-wise Amount Analysis - Transaction Status Monitoring - Tax Analysis by Country & Company - Year & Account Type Filters - Interactive Dashboard Design This dashboard helps transform raw financial data into meaningful insights for better business reporting and data-driven decision-making. Tools: Microsoft Power BI | Data Analytics | Business Intelligence | Financial Reporting I am passionate about Data Analytics, Power BI, and turning data into actionable business insights. Your feedback is welcome! #PowerBI #PowerBIDashboard #DataAnalytics #BusinessIntelligence #FinancialAnalytics #DataVisualization #FinanceDashboard #PowerBIDeveloper #DataAnalyst #MicrosoftPowerBIPower BI Financial Dashboard – Take Control of Your Business Performance
Are You Struggling to Make Sense of Your Financial Data? Many businesses drown in spreadsheets and guesswork, missing critical opportunities to boost revenue, cut costs, and maximize profits. Without clear financial visibility, you risk: Blind spots in revenue performance – Are you hitting targets or falling short? Uncontrolled expenses – Which costs are draining your profits? Unclear profitability by product/service – What’s really driving your bottom line? Reactive decision-making – No early warnings for cash flow dips or seasonal slumps. Stop guessing. Start optimizing. This ready-to-use Power BI dashboard gives you real-time, visual, and interactive financial insights—so you can track performance, spot trends, and act fast. Key Problems It Solves: Revenue vs. Targets Tracking – Instantly see if you’re on track or need to adjust strategy. Profitability Breakdown by Product/Service – Identify high-margin winners and underperformers. Expense Control & Cost Optimization – Pinpoint wasteful spending before it hurts profits. Seasonal & Trend Analysis – Predict dips and plan ahead to stabilize cash flow. Why This Dashboard? No Complex Setup – Plug in your data, and it works instantly. Interactive & Visual – No more messy spreadsheets—just clear, actionable reports. Customizable for Any Business – Works for eCommerce, retail, SaaS, and more. Real-Time Decision Making – Spot risks and opportunities before competitors do. Who Needs This? Finance Teams – Simplify reporting and present insights in seconds. CEOs & Business Owners – Get a 360° view of financial health. Startups & SMBs – Make data-driven decisions without a finance expert. Consultants & Analysts – Deliver stunning, professional reports to clients. eyJrIjoiYTBkODhlMTUtMGY1ZS00ZGUyLThkMjMtYTE2YmY4NjEyOWE5IiwidCI6ImE5NDUyNTg2LTJmNGMtNGNiMS04ZDJlLTI2ODkyODllZTcyNiIsImMiOjl9
Fantasy Premiere League Analytics Hub v3
Multi Seasonal Report to help Fantasy managers track player performance discover hidden gems and undervalued assets Main changes from previous version: Changed the pipeline from just python > powerbi to python >sql databae > powerbi' This was done to handle multi season analysi as the previous pipeline wasnt fit to do so Utilised bronze silver gold staging in sql More contextualised kpis Customiseable charts (parameters) Utilised HTML visuals for KPIs, Visuals (player explorrer page) and tooltips Star Schema Data Model eyJrIjoiMTVjMTdkMWEtZTQwOS00NDM0LTkxYTEtMjJmODY2ZDhmMTY0IiwidCI6ImQxMjA2OTQzLWJmY2MtNGM3NC04MmQ0LTA1ZTYzYTQzMzViZiJ9Pizza Sales Report
Five business insights from data Most Pizza Selling In 16-20 Hours. Most Selling Large Pizza Name of Thai Chicken. At 8242, Friday Had the Highest Sum Of Quantity And Was 36.57% Higher Than Sunday, Which Had The Lowest Sum Of Quantity At 6035. Quarter 2 Has Increase Pizza Quantity. Quarter 4 Has Decrease Pizza Quantity eyJrIjoiOTA1OGYwZWYtMjVhNS00NTY0LTgzNmYtNGJhZWJkNGE1ZTViIiwidCI6ImJmYjZiODdiLTViODUtNDkxMS1hYWMxLTJkODIyMThiOGQ4ZCIsImMiOjl9
Live Weather Dashboard
Live IoT Weather Dashboard This is a real-time weather dashboard powered by a custom-built DIY IoT weather station. While many weather dashboards available online use static datasets or merely change color schemes on the same template, this project is fundamentally different. It is a live system that bridges the gap between physical hardware and digital analytics. Technical Overview Data Collection: Unlike dashboards that rely on CSV uploads, this station utilizes an ESP8266 microcontroller paired with DHT11 and BMP280 sensors. Live readings for Temperature, Humidity, and Pressure are logged directly to Google Sheets in real-time. Region-Specific Calibration: Specifically calibrated for the unique tropical climate of the Trichy, Tamil Nadu region, ensuring localized accuracy that global APIs often miss. Advanced Analytics: Using only four raw data points (Timestamp, Temp, Humidity, and Pressure), I have developed a custom suite of DAX measures. These calculate complex weather trends, "feels like" temperatures (Heat Index), and atmospheric dew points. Dynamic Visuals: The interface isn't just a static skin; it features weather-dependent iconography and a custom refresh schema that ensures the data you see is as fresh as the air outside. Why this stands out Most dashboards you see are "re-skins" of existing templates. This project demonstrates a full-stack data engineering pipeline: Sensor → Microcontroller → Cloud Storage → Power BI Logic → End-User Visualization. eyJrIjoiYTVjNzg4MzMtZDJlMS00NmY5LWI1ZDItNzRhMjRmNDdkZWIwIiwidCI6IjBjM2QwNTc2LTFkOWYtNGM4Ny05OTNjLTg2YjQ0MGE1YjA3OCJ9📅 Powerful interactive calendar in Power BI 📅
Did you know how powerful the native Power BI 𝗦𝗰𝗮𝘁𝘁𝗲𝗿 𝗖𝗵𝗮𝗿𝘁 is? What if I told you that, 𝗰𝗼𝗺𝗯𝗶𝗻𝗲𝗱 𝘄𝗶𝘁𝗵 𝗮 𝗠𝗮𝘁𝗿𝗶𝘅, it could create a 𝗳𝘂𝗹𝗹𝘆 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲 𝗰𝗮𝗹𝗲𝗻𝗱𝗮𝗿? Back in 2019, I created a 𝘀𝘁𝗲𝗽-𝗯𝘆-𝘀𝘁𝗲𝗽 𝘁𝘂𝘁𝗼𝗿𝗶𝗮𝗹 to show how to build a fully interactive calendar in Power BI by using the Matrix visual. While it worked well, I knew I could improve it. This year, I wanted to explore a new technique by 𝗰𝗼𝗺𝗯𝗶𝗻𝗶𝗻𝗴 𝘁𝗵𝗲 𝗠𝗮𝘁𝗿𝗶𝘅 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗦𝗰𝗮𝘁𝘁𝗲𝗿 𝗖𝗵𝗮𝗿𝘁, and here is the result. 𝗪𝗵𝗮𝘁’𝘀 𝗻𝗲𝘄 𝗶𝗻 𝘁𝗵𝗶𝘀 𝘃𝗲𝗿𝘀𝗶𝗼𝗻? • A full-year view with statutory holidays for Sénégal, France, and Québec • A refined layout leveraging Scatter and Matrix visuals (no custom visuals) • A dynamic title built with a simple SVG – no external images required • Interactive filters to switch between years, regions, and 𝗰𝗼𝗹𝗼𝗿 𝗪𝗮𝗻𝘁 𝘁𝗼 𝗲𝘅𝗽𝗹𝗼𝗿𝗲 𝗶𝘁 𝘆𝗼𝘂𝗿𝘀𝗲𝗹𝗳? I’m making the .𝗽𝗯𝗶𝘅 file available for free so you can dive in, customize it, see the logic behind it, and let me know your thoughts. eyJrIjoiOTQyY2JmMjQtZTIxOS00ZTI1LTgwOTMtYTU1Yjg5ZGZkZjI2IiwidCI6ImE5ZTRlYjg3LWY4OTAtNGE3My05YTYwLTRiMmVjZGI3ZWY4YiJ9&embedImagePlaceholder=true&pageName=75869a7237688a6574a1Air Quality Dashboard || AirPure Innovation
🔍𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐎𝐛𝐣𝐞𝐜𝐭𝐢𝐯𝐞 India is home to 14 of the world’s most polluted cities. Before launching their air purifier, 𝐀𝐢𝐫𝐏𝐮𝐫𝐞 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧𝐬 needed to: Identify high-risk, high-potential markets Correlate AQI with health & vehicle data Time product & campaign rollouts more effectively 🛠️ 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 ✅A fully interactive 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐫𝐞𝐩𝐨𝐫𝐭 with 6 dynamic dashboards ✅A complete 𝐔𝐈/𝐔𝐗 𝐜𝐚𝐬𝐞 𝐬𝐭𝐮𝐝𝐲 𝐨𝐧 𝐁𝐞𝐡𝐚𝐧𝐜𝐞 ✅A professional 𝐯𝐢𝐝𝐞𝐨 𝐰𝐚𝐥𝐤𝐭𝐡𝐫𝐨𝐮𝐠𝐡 using Camtasia + Amazon Polly ✅Actionable insights through 𝐏𝐫𝐢𝐦𝐚𝐫𝐲 & 𝐒𝐞𝐜𝐨𝐧𝐝𝐚𝐫𝐲 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 📊𝐂𝐨𝐫𝐞 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬 📌𝐋𝐚𝐧𝐝𝐢𝐧𝐠 𝐏𝐚𝐠𝐞 – Interactive UI with dark theme, Navigation, KPI 📌𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰 – AQI trends, pollutants, city risk, severity funnel 📌𝐀𝐐𝐈 𝐒𝐞𝐯𝐞𝐫𝐢𝐭𝐲 𝐌𝐚𝐩𝐩𝐢𝐧𝐠 – Heatmaps, station coverage, pollutant share 📌𝐇𝐞𝐚𝐥𝐭𝐡 𝐈𝐦𝐩𝐚𝐜𝐭 – Disease outbreaks, AQI triggers, risk zones 📌𝐕𝐞𝐡𝐢𝐜𝐥𝐞𝐬 & 𝐀𝐢𝐫 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 – EV stats, AQI correlations, fuel split 📌𝐌𝐚𝐫𝐤𝐞𝐭 𝐏𝐫𝐢𝐨𝐫𝐢𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧 – Risk scores, priority cities, launch timing 🧠 𝐒𝐤𝐢𝐥𝐥𝐬 𝐒𝐡𝐨𝐰𝐜𝐚𝐬𝐞𝐝 ✔️Data storytelling with Power BI ✔️UI/UX dashboard design using Figma ✔️DAX-based KPI & Risk modeling ✔️Market research & product strategy ✔️Real-time insights for business decisions 🔗𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐭𝐡𝐞 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 📊Power BI Dashboard Walkthrough: https://lnkd.in/dTQQymSc 🎨Behance Case Study: https://lnkd.in/d-Gaw_yG This journey allowed me to integrate real-world business strategy, data storytelling, and product design into one cohesive solution. I’d love your thoughts or feedback - especially from anyone interested in data strategy, product analytics, UX dashboards, or air quality research. eyJrIjoiZWQ4ZDVjNjItMGY2NC00NWI4LTg2ZjctMGE1NTgwYzhiYzgwIiwidCI6Ijg0MmU0ZTBlLTFjNjMtNDE0Ny1iNWJjLTJiOGJhZWQyZjk5OCJ9Nykaa Fashion Analysis Dashboard
🚀Nykaa Fashion Campaign Analysis Dashboard | Power BI I recently worked on a Power BI project analyzing marketing campaign performance for Nykaa Fashion, focusing on revenue, conversions, and ROI across different channels. 🔍Project Highlights Total Revenue: 29bn Total Conversions: 57M ROI: 1.37K Total Impressions: 3bn 📊Key Insights Influencer and Social Media campaigns drive the highest revenue Instagram, WhatsApp, and YouTube dominate channel performance Conversion rates are relatively consistent across campaign types Social Media campaigns show strong ROI performance 📈What this dashboard covers Channel-wise revenue and conversion analysis Customer segmentation insights Campaign cost vs revenue comparison Conversion funnel and campaign trends over time ⚙️Built using Power BI | DAX | Power Query 💡Takeaway Understanding campaign efficiency and customer segments can significantly improve marketing ROI and targeting strategies. Would love to hear feedback or suggestions for improvement! eyJrIjoiZTM4MWFkN2QtMWQ4NS00ZjA1LWFiY2QtZDE3MTEyMDUwMmIzIiwidCI6IjBjM2QwNTc2LTFkOWYtNGM4Ny05OTNjLTg2YjQ0MGE1YjA3OCJ9Canadian Big 6 Banks' Stock Market Tracker
For this new version, I wanted to challenge myself again: Can we create advanced stock market visuals in Power BI using only native visuals and DAX? The answer is yes. In this version, I added multiple chart types inside a single native Power BI visual: • Candlestick Chart • OHLC Bar Chart • Mountain Chart — Line chart with shaded area • Moving Average • Big 6 Banks selector • Dynamic stock performance indicators And the best part: No SVG. No Bookmarks. No custom visuals. Only native Power BI visuals and DAX. This project is part of my ongoing exploration of how far we can push Power BI’s native capabilities when we combine creativity, data storytelling, and DAX logic. This tool is purely for educational purposes, knowledge sharing, and learning about Power BI. Download the PBIX file eyJrIjoiM2Q4OTQwMmEtYjE5NC00Y2Q2LThmZTEtZDBlZDI5ZDBmZGM5IiwidCI6ImE5ZTRlYjg3LWY4OTAtNGE3My05YTYwLTRiMmVjZGI3ZWY4YiJ9&embedImagePlaceholder=true
