The Finance Dashboard | Power BI Financial Analytics & Business Intelligence Report
The Finance Dashboard is a comprehensive Power BI financial analytics solution built using a cleaned and transformed finance dataset containing 50,000+ records. Key Features: ✅ Data Cleaning & Transformation using Power Query ✅ Financial KPI Monitoring ✅ Revenue, Tax, Fees & Final Amount Analysis ✅ Country-wise Financial Performance ✅ Company-wise Revenue Tracking ✅ Status Analysis (Completed, Pending, Failed) ✅ Interactive Filters & Slicers ✅ Executive-Level Business Intelligence Reporting Tools Used: • Microsoft Power BI • Power Query • DAX Measures • Data Modeling • Data Visualization • Financial Analytics This dashboard enables decision-makers to monitor financial performance, identify trends, compare countries and companies, and make data-driven business decisions through interactive visualizations. Power BI Dashboard, Finance Dashboard, Financial Analytics, Business Intelligence Dashboard, Power BI Project, Data Visualization, Financial Reporting, DAX, Power Query, Executive Dashboard, KPI Dashboard, Finance Data Analysis, Revenue Analysis, Tax Analysis, Corporate Reporting, Interactive Dashboard, Business Analytics, Data Cleaning, Data Transformation, Power BI Portfolio Project eyJrIjoiYTQ0MzIzOWQtNzM5Zi00NjBiLWFhNjItMWM1NGI1ODEwODljIiwidCI6IjI0MWNlN2VlLTVjYmUtNDczNi1hYWM0LWZkOWZmM2NjMWRkMSIsImMiOjl9
Global Electronics Retailers Analysis Dashboard
🌍 Global Electronics Retail Performance Intelligence System | Power BI Developed a strategic retail analytics dashboard to analyze multi-region electronics sales, profitability, customer contribution, and store performance, transforming fragmented transactional data into executive-level performance intelligence. 📊 Key Business Insights & Quantified Impact 💰 Revenue & Profit Concentration Risk Top 20% of products contributed ~65–70% of total revenue, revealing heavy SKU dependency. Bottom 30% of SKUs generated less than 8–10% revenue while occupying inventory capacity. Identified margin variation of up to 18–25% across product categories, highlighting pricing optimization opportunities. 👉 Business Implication: Even a 5% margin improvement in top-performing categories could significantly increase overall profitability. 🏬 Store Performance Gap Analysis Best-performing region generated ~2.3x higher revenue than the lowest-performing region. Identified 15–20% performance gap between top and bottom quartile stores. Certain stores showed high sales but below-average profit margin (margin leakage indicator). 👉 Business Implication: Standardizing best-performing store practices could improve low-performing outlets by an estimated 10–15%. 📈 Growth & Trend Analysis Year-over-Year growth varied significantly across regions (ranging from -5% decline to +22% growth). Seasonal peaks showed up to 35% higher sales during high-demand months. Profit growth lagged revenue growth in some regions, signaling cost structure inefficiencies. 👉 Business Implication: Improved demand planning and cost control during peak seasons could protect margins while scaling revenue. 👥 Customer Intelligence Top 25% of customers contributed nearly 60% of total revenue. Revenue concentration risk identified in specific customer segments. Repeat purchasing patterns indicated strong upselling potential in high-value segments. 👉 Business Implication: Targeted retention strategies for top customers could prevent significant revenue volatility. 🧠 Analytical Depth Demonstrated Built optimized star-schema data model Developed 25+ advanced DAX measures including: YoY growth % Dynamic ranking Contribution % Profit margin variance Implemented drill-through and executive navigation structure Reduced report loading time via model optimization 🎯 Why This Project Signals High-Level Value This is not a visualization project. It demonstrates ability to: Quantify revenue risk and opportunity Identify operational inefficiencies Detect margin leakage Translate raw retail data into strategic financial decisions If implemented in a real retail environment, insights from this dashboard could potentially drive: 5–10% margin improvement 10–15% uplift in underperforming stores Better inventory allocation decisions Reduced revenue concentration risk eyJrIjoiMzNjNDVjNTYtYTQ3Yy00YzJjLTkyNjEtNzcwNDUyOWNhNWQzIiwidCI6IjE5OTFlNDljLWFlYTItNDhhNS1iMWVmLTIxMjRkYjVhYWQwMCIsImMiOjN9🎅 Santa's Christmas Eve Journey in Power BI with Icon Map
🎅Here's a bit of fun for the holiday season ! 🎅 We loaded the JSON version of the data from NORAD's Santa Tracker site into Power BI and using the Icon Map Slicer visual, mapped Santa's sleigh as it travels around the world. We used the play axis visual to the animate the journey. The new card visual shows the number of presents delivered and the current UTC time. The new Image visual shows an image from the location at that time. To go along with it, we used AI to generate a song which is played by a bespoke custom visual we built just for this purpose. We've created a blog post showing how it was put together and included the .pbix file with this post. Here's the video of the report Don't forget to try out the Icon Map Slicer visual that we used for this report. Happy Holidays everyone! eyJrIjoiYWYxODU5NWYtMDAzNC00ZjNiLTljYTctNDY1OTAxNTM0NzFkIiwidCI6IjgzYjFlODU4LWJiNGEtNDFkZC1hYjc2LTg1ZTkxODZjZjA3NCJ9Power BI Advent Calendar with movies
✨ Little side-project joy: I wanted to see how far I could push HTML inside Power BI… so I built a Christmas Advent Calendar dashboard 🎅📊 I first mocked it up in Lovable, then used ChatGPT to translate the React UI into DAX-generated HTML. The result? A grid of 25 days, each opening to reveal Christmas classics ... movies most of us end up watching this time of year anyway 😄 My original plan was to use clickable pop-ups like in the web prototype, but that would’ve required ~50 bookmarks. Instead, I got creative and used one hidden tooltip page + a transparent day-slicer to trigger each movie card. And I used my Timer custom visual too 😅 Cleaner, faster, still festive. It was fun to mix design, code, and Power BI into something completely unnecessary, but very Christmassy. 🎄🤭 Because data can be magical too... eyJrIjoiMWYyYWM3NWYtN2IzYS00YWYxLTg4MzUtYTE1NGQ1MjMzODg0IiwidCI6IjI2OGUxZmZhLTMwMmItNDRmNS1iODlkLTYzMjcyMjhiMjhhMyIsImMiOjF9
Workout Wednesday 2025 Week 50 | Power BI: First Snowfall Scatterplot
Challenge The first snowfall in Denver was unseasonably late this year. So I got curious about the data and decided to make a visualization. While this one does communicate data, it's taking a bit of artistic license to achieve that winter feeling. This is your challenge as well: create a first snowfall scatterplot with some wintery visual effects. You can decide if you are making a more traditional chart or data art. But please keep accessibility and readability in mind! I made the example using the free HTML Content custom visual. Requirements Retrieve snowfall data from a reputable source. You can use the Denver data as shown in the example, or you can find data for a location of your choice (just try to make sure it goes back at least 40 years so your scatterplot isn’t too sparse). Create a measure that shows the amount of snowfall in the first month of each season. Create a scatterplot using your Power BI visual of choice (custom or core). Show the season/year on one axis and the month of first snowfall on the other axis. Plot points for the month in each season where the first snow of the season occurred. Make the size of the points correspond to the amount of snowfall in that month. Create a tooltip that appears when you hover over each data point that displays the month, season, and snow amount for that point. Add design elements related to winter or snow. In the example, the data points have the shape of a snowflake, there is a snowy background image, and the colors are related to snow and winter. And the snowflake data points are animated, falling into place when the report first opens and glowing while the visual remains in view. Dataset Data for this challenge can be found at https://www.weather.gov/bou/seasonalsnowfall. This data is supplied by the US National Weather Service. If you would prefer to use data from a different source, that is fine – just make sure you can complete the requirements for the challenge. Share After you finish your workout, share on Bluesky or LinkedIn using the hashtags #WOW2025 and #PowerBI, and tag @MMarie, @shan_gsd, @KerryKolosko (on BlueSky). Cross-posted at https://workout-wednesday.com/pbi-2025-w50. eyJrIjoiYjYwYjQ3NjItOWZjZi00OTQwLWIyZTMtMzlmYjVkNDdmYWEyIiwidCI6Ijg3N2MzNGI5LWRjNDMtNGMwYS04N2MzLTgwZDcwN2FiYzY3MSIsImMiOjN9Winter Wonderland in Power BI (No bookmarks)
Having fun with Power BI after work! Last week, a coworker said that it would be nice to have a bit of snow in a Power BI report. So, of course, I had to try it. And it worked. I even added pine trees and a switch between night and day. All inside Power BI with native visuals. - The GIFs are loaded through the image visual (we have some new functionality there!). I put the URLs in a table and connected it to my toggle button. I did the same for my logo. - The toggle button is a button slicer. No bookmarks. - The trees are a line chart with the line hidden, markers turned on and error bars added. - The color change comes from a table with HEX codes that is linked to the same toggle button. I loved working on this! This is exactly why Power BI is so much fun for me. Creating something like this in two hours after work still feels like magic. For almost everything I used here, I've created videos and tutorials before. This one is simply the combination of all those tricks. You can find my YouTube channel here: https://www.youtube.com/@porcubi Video about dynamic color change: https://www.youtube.com/watch?v=sZtHutgNgO4&t How to create a lollypop visual (replace the circle with a triangle): Lollypop Visual is Power BI - Line Chart with Error Bars eyJrIjoiZmI5NTM0ZDYtY2FkZi00MTZmLTlmODktYjA4ODI1ZGJlY2NkIiwidCI6ImRiNGRmYTQ0LTJhY2YtNGJlZC05ZWQwLTllMjkwYzJlYWRkYyIsImMiOjl9
Santa's Little Helper, a Christmas Snake Game
It’s December, and I wanted to create something fun in Power BI while also learning something new. So I decided to build a playable Christmas Snake game inside Power BI using a custom visual. This little project is a playful way to explore what’s possible in Power BI and to spark a bit of holiday creativity along the way In the game, you’re helping Santa! Ten gifts are missing just before Christmas, and your mission is to help Santa collect all 10 different gifts as quickly as possible. I got the inspiration from Phil Seamark, using vibe coding to create a custom visual in Power BI: https://dax.tips/2025/09/29/create-custom-visuals-in-power-bi-with-github-copilot/ I created the custom visual in VS Code using Claude Sonnet 4.5 in Agent mode. I spent some time getting the technical foundation in place, but once that was done, things really took off. In about 10 minutes, I had the first very basic, playable version up and running. After that, I spent another 5 hours refining the game and getting all the details right. Have fun playing the game! or Vibe Code your own game 🙂 eyJrIjoiZTFiYzMxZTEtY2Y3Ny00ODgwLWJhYmYtNDE3ZThlNjcwOGU5IiwidCI6IjcxOTFkMGE5LWJkNjYtNDU0OC04MDk4LWQ2NDZmMGRiYTUzMiIsImMiOjl92022 Week 49 | Power BI: Build a Holiday Song Picker
This Power BI report helps you pick a holiday song based on the artist, tempo, or key. I used the Image Grid custom visual to display the album covers and created a measure to display which song has been selected. For more info, see https://www.workout-wednesday.com/pbi-2022-w49/. eyJrIjoiODAxMDYyNWUtNThhYy00MzAwLWE4YTctMmY2YWViYjgxYjVlIiwidCI6IjNkMTEzNGZjLTg0ODItNDM1OC04ZmEzLWJiMjBiYzVmNTAxYiIsImMiOjF9Workout Wednesday 2024 | Week 50 | Embed a video in a Power BI report using HTML
Introduction Welcome back to Workout Wednesday! This week we’re wishing everyone a very happy holiday season. Join us as we celebrate with a straightforward challenge, embedding a video in a Power BI report using the HTML Content custom visual. Requirements Create a custom image that you’ll use as your landing page. Create a custom video that you’d like to display in your report. Add a report page for your video. Insert a table to your report that includes the HTML that points to your video. The only data that needs to be in the table is the actual HTML pointing to your video. The video needs to be hosted online and in .mp4 format. I wasn’t able to get YouTube or OneDrive hosted videos to work. If you make this work, drop a comment! Add the image to the canvas and set an action to navigate to your new video page. Ensure that all visuals meet the minimum standards of having alt text, that the tab order in your report makes sense, and that your color choices meet the minimum contrast standards. Dataset This week’s challenge doesn’t have a dataset! Create your own images and videos to use! Share After you finish your workout, share on social media using the hashtags #WOW2024 and #PowerBI. On Twitter, tag @MMarie, @shan_gsd, @KerryKolosko. Also make sure to fill out the Submission Tracker so that we can count you as a participant this week in order to track our participation throughout the year. eyJrIjoiNTUyZDdkYTgtNTA1Mi00Y2VjLWFmNWEtMWVhN2IwNmM3NmM4IiwidCI6IjNkMTEzNGZjLTg0ODItNDM1OC04ZmEzLWJiMjBiYzVmNTAxYiIsImMiOjF9
