Business Intelligence Visualization

Day 1 of #BusinessIntelligence Ever wondered why some dashboards make an impact while others confuse users? Here are 5 essential principles that I always follow when building dashboards: • Know Your Audience: Understand the decisions they need to make. • Prioritize KPIs: Focus on the most critical metrics. • Simplicity is Key: Clutter can distract, so aim for clarity. • Consistent Design: Maintain a consistent format, color scheme, and chart types. • Iterate and Improve: Gather feedback and continually refine your dashboard. I’ve applied these principles to a recent project where simplifying a complex dashboard led to higher user engagement and clearer insights. By understanding user needs and removing non-essential data, I turned it into an actionable tool. What’s the one principle you never skip when building dashboards? #BusinessIntelligence #DashboardDesign #DataVisualization #PowerBI #Tableau #DataAnalysis

A New Power BI Dashboard! 🚀 I'm excited to share one of my recent projects where I built an interactive dashboard using dummy data. The goal was to provide a clear, comprehensive view of a company's sales and revenue, answering some key business questions. The dashboard's main purpose is to help stakeholders quickly understand: 1. Where to focus our support and resources. By analyzing the data, we can see that our top-performing regions are Asia and North America. While these regions are strong, there's a significant opportunity to grow our market share in Europe. Similarly, the data shows that Electronics and Home Appliances are our highest-revenue product categories, making them prime candidates for continued support and marketing efforts. 2. The relationship between revenue and sales. This dashboard allows us to compare revenue directly to sales figures. Interestingly, North America shows the highest revenue at $36.8K despite selling fewer units than Asia. This suggests that customers in North America have the highest purchasing power, buying more expensive items or larger bundles. This insight is crucial for tailoring pricing strategies and product promotions to specific regional markets. This project was a great exercise in visualizing complex data to deliver actionable insights. It's a powerful reminder of how business intelligence can drive strategic decisions. What's a key question you've answered using data recently? I'd love to hear about it! Feel free to comment with any feedback or questions you have. #DataVisualization #BusinessIntelligence #Analytics #Dashboard #DataAnalyst

Root Cause Analysis: Dive as deep as you want. I'm passionate about building BI dashboards that empower users to go beyond surface-level reporting and truly understand the 'why' behind their data. This Root Cause Analysis dashboard is designed to do just that (or I hope it does). It's all about giving users the power to dive into the details, even if it sometimes requires a bit of extra training for maximum effectiveness. Here's a peek at some of the visuals I've used in this dashboard: - 𝗗𝗲𝗰𝗼𝗺𝗽𝗼𝘀𝗶𝘁𝗶𝗼𝗻 𝗧𝗿𝗲𝗲: This visual lets you break down a metric one level at a time to pinpoint the factors behind performance trends. I’ve customized it by disabling the responsive feature, so users can zoom in and out with their scroll wheel—providing flexibility while requiring minimal training. Users can also choose their own dimensions to tailor the view. - 𝗙𝗶𝘀𝗵𝗯𝗼𝗻𝗲 𝗥𝗼𝗼𝘁 𝗖𝗮𝘂𝘀𝗲 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: This diagram shows why a KPI is doing well or falling short by displaying different dimensions dynamically. I even wanted to calculate an effect percentage for each item based on value and percentage changes, showing the most positive and negative impacts. - 𝗝𝗶𝘁𝘁𝗲𝗿 𝗣𝗹𝗼𝘁: This visual helps you quickly identify outliers in your sales data. Are there specific products or regions that are significantly over- or under-performing? The Jitter Plot makes these immediately visible. Selecting a data point allows you to filter the dashboard and explore potential root causes, for example, a sudden drop in sales for a particular product in a specific region. - 𝗛𝗶𝗴𝗵𝗲𝘀𝘁/𝗟𝗼𝘄𝗲𝘀𝘁 𝗗𝗶𝗮𝗴𝗿𝗮𝗺: This visual clearly highlights the top or bottom contributor within a selected dimension, showing how much each one impacts the overall metric. - 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗦𝗲𝗰𝘁𝗶𝗼𝗻: A dedicated space to answer the most common questions, especially handy for features that might need a bit of user guidance. Check out the Power BI dashboard via the link below to interact with these features and see how root cause analysis can transform your data insights: https://lnkd.in/dMHK9UVC I’d love to hear your thoughts! #PowerBI #Dashboards #BusinessIntelligence

🚀 3D Meets Data: Exploring #powerbi Beyond the Basics! 📊 In this project, I integrated 3D visualisation with Power BI to enhance spatial data insights: 🔹 Process Overview: Created the 3D model using tools like Blender, Revit, and SketchUp. Integrated it into Power BI via direct connection or through a JSON export to map 3D elements with the data model. 🔹 Real-World Business Applications: ✅ Site Mapping: Visualising project areas with live data overlays. ✅ Construction Phases: Tracking progress across milestones. ✅ Inventory Management: Monitoring stock locations and availability in warehouses. Following the 3D theme, I also built this presentation using a screen recording from my dashboard, styled in a 3D environment. ✨ The possibilities for combining 3D and BI are endless - how would you use it? #PowerBI #3DVisualisation #DataAnalytics #BusinessIntelligence #LinkedIn #Innovation #Blender #Revit

𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗩𝗶𝘀𝘂𝗮𝗹 𝗩𝗼𝗰𝗮𝗯𝘂𝗹𝗮𝗿𝘆 I built the Power BI Visual Vocabulary to help people choose the right visual for their data. Too often, the wrong chart is used for the wrong scenario. This guide is a simple way to fix that. It’s made for the Power BI community - for anyone learning analytics or wanting a quick reference while building reports. The guide uses 𝗼𝗻𝗹𝘆 𝘁𝗵𝗲 𝘀𝘁𝗮𝗻𝗱𝗮𝗿𝗱, 𝗼𝘂𝘁-𝗼𝗳-𝘁𝗵𝗲-𝗯𝗼𝘅 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝘃𝗶𝘀𝘂𝗮𝗹𝘀. No hacks, no workarounds, no gimmicks - just the visuals as they are intended to be used. These are the visuals that answer 𝗮𝗯𝗼𝘂𝘁 90% 𝗼𝗳 𝗰𝗼𝗺𝗺𝗼𝗻 𝗿𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀. Visuals are grouped by analytical purpose: 𝗖𝗵𝗮𝗻𝗴𝗲 𝗢𝘃𝗲𝗿 𝗧𝗶𝗺𝗲, 𝗣𝗮𝗿𝘁-𝘁𝗼-𝗪𝗵𝗼𝗹𝗲, 𝗖𝗼𝗿𝗿𝗲𝗹𝗮𝘁𝗶𝗼𝗻, 𝗥𝗮𝗻𝗸𝗶𝗻𝗴, 𝗙𝗹𝗼𝘄, and 𝗦𝗽𝗮𝘁𝗶𝗮𝗹. Each section starts with a short description of what those visuals are designed to show. Every chart includes: • 𝗪𝗵𝗮𝘁 𝗶𝘁 𝗶𝘀 - a short explanation of the chart type. • 𝗨𝘀𝗲 𝗰𝗮𝘀𝗲 - when it’s most appropriate. • 𝗖𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 - things to watch for or improve. • 𝗧𝗵𝗲 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗩𝗶𝘀𝘂𝗮𝗹 𝗶𝗰𝗼𝗻 - so you can quickly find it in the visualization pane. It’s a straightforward learning and reference tool to support clear, consistent report design and to make visual selection easier for everyone using Power BI. You can access the 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗩𝗶𝘀𝘂𝗮𝗹 𝗩𝗼𝗰𝗮𝗯𝘂𝗹𝗮𝗿𝘆 by selecting “𝗩𝗶𝘀𝗶𝘁 𝗺𝘆 𝗪𝗲𝗯𝘀𝗶𝘁𝗲” on my LinkedIn profile page. #PowerBI #UIUX #DataViz

Data storytelling isn’t just about showing data, it’s about showing it right. If you truly want to level up your storytelling skills, this guide is a masterclass in visual thinking, 100 different ways to visualize data depending on the message you want to communicate. Every dataset tells a story, but the wrong chart can silence it. Here’s how to think about visualization like a professional: • Show trends with line, area, or stream charts. • Reveal relationships using scatter or bubble plots. • Explain composition through pie, stacked bar, or waffle charts. • Highlight ranking or comparison with bar, bullet, or lollipop charts. • Uncover distribution using histograms, density, or violin plots. • Map geospatial data with choropleths, grids, or bubble maps. • Tell time-based stories through timelines, Gantt, or horizon charts. • Explore structure and hierarchy using trees, dendrograms, and sunbursts. • Detect anomalies or behaviors with time series and funnel charts. Good visualization isn’t decoration — it’s data communication. Every chart is a design decision, and every design choice shapes understanding. If you’re serious about becoming a stronger data storyteller, study this chart until you can choose visuals instinctively, not by habit, but by purpose. #DataVisualization #DataStorytelling #DataScience #Analytics #BusinessIntelligence #DashboardDesign #InformationDesign #StorytellingWithData

The right chart turns data into insights. The wrong chart turns insights into confusion. Most people pick a chart based on what looks good. The best analysts pick a chart based on the question they're trying to answer. Here's a quick guide to 10 charts and when each one works best: 1. Column Chart - Compare values across categories (quarterly sales by region) 2. Line Chart - Show trends over time (monthly website traffic) 3. Bar Chart - Compare categories with long labels (sales by product) 4. Pie Chart - Show parts of a whole (market share by company) 5. Donut Chart - Same as pie, with more visual space (budget allocation) 6. Area Chart - Show volume and trends together (monthly revenue) 7. Scatter Plot - Find correlations (ad spend vs sales) 8. Heatmap - Show intensity or density (website user activity) 9. Funnel Chart - Show stages and drop-offs (sales pipeline conversion) 10. Table - Display exact numbers (financial reports) Quick rules to live by: → Know your goal before picking a chart → Keep it simple - clutter kills clarity → Use consistent colors that guide the eye → Highlight what matters with titles and labels Save this for your next dashboard or report. #DataVisualization #Analytics #DataStorytelling #BusinessIntelligence

📊 Demystifying Data Visualization: A Comprehensive Guide Navigating the world of data can be like trying to find your way through a maze. But with the right map, suddenly the path becomes clear. That's what this chart is—a visual guide that matches your data storytelling needs with the perfect chart type. Whether you're looking to compare variables, demonstrate relationships, or show compositions, this guide distills complex information into a straightforward format. It's like having a data visualization expert by your side! Key takeaways from this guide: To compare multiple variables? Consider bar charts and scatter plots. To show how parts make up a whole? Pie or donut charts might be what you need. To illustrate data that changes over time? Line charts and area charts can track the trends. To reveal distribution patterns? Histograms provide a clear picture at a glance. Are you ready to enhance your reports, presentations, and dashboards? With this chart as your guide, you’ll always pick the right visual for your data. Let's make information beautiful and accessible, one chart at a time! You can explore my Tableau dashboards here: https://lnkd.in/ghR-KQba Image Credits: Damola Ladipo #DataVisualization #Infographics #StorytellingWithData #Analytics #BusinessIntelligence #DataScience

Power BI in 2025: What Visuals Are Leading the Game? As data continues to shape decision-making across industries, the way we visualize insights matters more than ever. In 2025, Power BI has evolved with some incredible updates that every data analyst should know: Top Power BI Visuals Making an Impact This Year: • Treemap (New Layouts!): Now with Squarified, Binary, and Alternating tiling methods for better storytelling of hierarchical data. • Multi-Card Visuals: A game-changer! Create multiple KPIs in one visual with custom images and dynamic formatting. • Line & Clustered Column Charts: Still the go-to for comparing trends over time and categories. • Decomposition Tree: Helps break down complex metrics with AI-driven insights. • Maps & Filled Maps: Crucial for location intelligence and regional performance analysis. • Smart Narratives & AI Insights: Let Power BI tell the story of your data. These features aren’t just fancy — they’re functional. They’re helping analysts deliver more meaningful, intuitive, and actionable dashboards. #PowerBI #DataAnalytics #BusinessIntelligence #DataVisualization #PowerPlatform #AIinAnalytics #LinkedInLearning #MicrosoftPowerBI

𝙏𝙝𝙚 5-𝙎𝙚𝙘𝙤𝙣𝙙 𝙍𝙪𝙡𝙚 𝙤𝙛 𝘿𝙖𝙨𝙝𝙗𝙤𝙖𝙧𝙙𝙨: 𝘾𝙖𝙣 𝙔𝙤𝙪𝙧 𝘿𝙖𝙩𝙖 𝙎𝙥𝙚𝙖𝙠 𝙖𝙩 𝙖 𝙂𝙡𝙖𝙣𝙘𝙚? ⏱️ Ever opened a dashboard and felt like you were drowning in charts, numbers, and filters? Here’s the truth: if a decision maker can’t answer their 𝘮𝘰𝘴𝘵 𝘪𝘮𝘱𝘰𝘳𝘵𝘢𝘯𝘵 𝘲𝘶𝘦𝘴𝘵𝘪𝘰𝘯 within 5 𝘀𝗲𝗰𝗼𝗻𝗱𝘀, the dashboard has failed its purpose. Dashboards aren’t meant to be pretty wallpapers of data. 𝘛𝘩𝘦𝘺’𝘳𝘦 𝘥𝘦𝘤𝘪𝘴𝘪𝘰𝘯 𝘮𝘢𝘬𝘪𝘯𝘨 𝘵𝘰𝘰𝘭𝘴. And speed matters. 🔑 That’s where smart visualization hacks in Excel come in: • Sparklines → Instantly show trends without bulky charts • Traffic-light indicators → Turn KPIs into “stop, go, caution” signals at a glance • Slicers → Make filtering intuitive, not frustrating The real power of Business Intelligence isn’t about 𝘮𝘰𝘳𝘦 𝘥𝘢𝘵𝘢. It’s about 𝘧𝘢𝘴𝘵𝘦𝘳 𝘤𝘭𝘢𝘳𝘪𝘵𝘺. Because the quicker leaders can see the story in the numbers, the quicker they can act. So next time you build a dashboard, ask yourself: 👉 Can this answer the key business question in under 5 seconds? If yes—you’ve built intelligence. If not—it’s just decoration. 𝙒𝙝𝙖𝙩’𝙨 𝙮𝙤𝙪𝙧 𝙜𝙤-𝙩𝙤 𝙩𝙧𝙞𝙘𝙠 𝙛𝙤𝙧 𝙢𝙖𝙠𝙞𝙣𝙜 𝙙𝙖𝙨𝙝𝙗𝙤𝙖𝙧𝙙𝙨 𝙞𝙣𝙨𝙩𝙖𝙣𝙩𝙡𝙮 𝙘𝙡𝙚𝙖𝙧? 👇 #DataDrivenDecisionMaking #DataAnalytics #ExcelDashboards #MISReporting