Power BI is more than just pretty charts 📈 The real magic happens in the Data Model. I recently finished a project where the reports were slow and the numbers didn't always match up because the data was coming from too many different places. By fixing the underlying data model, I was able to: Speed up report loading times. Make sure every KPI was 100% accurate. Help the team make decisions faster. The Lesson: If your data model is weak, your insights will be too. Focus on the foundation first, and the visuals will follow #PowerBI #DataModeling #BusinessIntelligence #DataAnalytics #DataVisualization #DAX #AnalyticsArchitecture #DataStrategy

Another step in my data analytics journey. I built this interactive Power BI dashboard to analyze the financial performance of 459 companies, focusing on market capitalization, quarterly sales, and efficiency insights. The dashboard allows stakeholders to quickly: • Identify top companies by market value and sales • Compare efficiency across company categories • Explore relationships between market cap and revenue • Spot high-performing companies and potential outliers Projects like this help turn data into insights that support better decisions. Tools: Power BI | DAX | Data Visualization #PowerBI #DataAnalytics #BusinessIntelligence #DataStorytelling #AnalyticsProjects

⚡ Power BI Performance Tip You Should Not Ignore Slow dashboards? Here’s a quick fix 👇 👉 Reduce data model size ✔️ Remove unused columns ✔️ Use proper data types (Whole Number instead of Decimal when possible) ✔️ Avoid loading unnecessary tables 💡 Advanced Tip: Use **Star Schema** instead of flat tables ⭐ Fact Table → Transactions ⭐ Dimension Tables → Date, Customer, Product 🚀 Result: ✔️ Faster refresh ✔️ Better relationships ✔️ Cleaner DAX Good data modeling = 50% of Power BI success. #PowerBI #DataModeling #StarSchema #BI #Analytics

🚀 Stoke Price’s Analysis | Open vs Close Stock Analysis Dashboard | Power BI Project Excited to share my latest data analytics project where I explored stock market trends through an interactive Power BI dashboard 📊 🔍 Key Highlights: • Analyzed the relationship between Opening and Closing prices • Identified intraday fluctuations and performance trends • Visualized monthly average intraday changes for deeper insights • Built dynamic filters to explore data across different time periods • Compared daily open vs close trends to uncover patterns 📈 Insights Gained: • Certain months show higher volatility in intraday movements • Closing prices often reflect short-term market sentiment shifts • Trend comparison helps in better decision-making for traders and analysts 🛠️ Tools Used: Power BI | Data Cleaning | Data Visualization | Time Series Analysis This project helped me strengthen my skills in data storytelling and dashboard design. 💬 I’d love to hear your feedback or suggestions! #PowerBI #DataAnalytics #StockMarket #DashboardDesign #DataVisualization #BusinessIntelligence #LearningJourney

Better dashboards start with better report design ✅ Learn how to transform cluttered reports into clear, high-impact analytics. Next live Power BI sessions start 3 September #powerbi #data #analytics #reportdesign

If you're new to Power BI, you may find yourself asking: "How do I properly design a data model?" Here are 5 keys to a well-designed data model: 1. Use a star schema with one-to-many relationships 2. Relationship filter should be single-directional (vs. bidirectional) 3. Each table should serve a specific purpose and include data (fact) and lookup (dim) tables 4. Only include the data you need for analysis 5. Split out individual data and time components (if time is unique) from a DateTime field Power BI pros: what else would you recommend to beginners? #mavenquicktips #data #analytics #businessintelligence #powerbi

🌟 Unlocking the Power of DAX in Power BI for Enhanced Analytics! 🌟 Are you ready to take your data analysis to the next level? If you’re a business intelligence professional, mastering DAX (Data Analysis Expressions) in Power BI is essential! One of the most advanced features that often goes unnoticed is the ability to create calculated columns and measures. This allows you to perform complex calculations dynamically, giving you deeper insights from your data. For example, consider using DAX to create a measure that calculates Year-Over-Year growth for your sales data. Not only does this provide a clear picture of performance, but it also allows for real-time monitoring of business health. Here’s a quick tip: leverage the CALCULATE function to modify filter context. It’s a game-changer when you want to slice and dice your data efficiently! Have you used DAX to solve a particular data challenge? Share your experience in the comments! Let’s learn from each other and elevate our analytics game together! #PowerBI #DataVisualization #Analytics #BusinessIntelligence #DAX #DataAnalysis

Better dashboards start with better report design 📊 Learn how to transform cluttered reports into clear, high-impact analytics. Next live Power BI sessions start 3 September #powerbi #data #analytics #reportdesign

Data Project Series 3: Building a Data Model in Power BI After cleaning my data, the next step was structuring it for proper analysis. In this part, I focused on building a simple data model by: 🔹 Creating a Date Table 🔹 Connecting it to my Sales table using a one-to-many relationship 💡 Why this matters: A well-structured data model ensures accurate calculations and makes time-based analysis (like daily sales trends) possible. This step is often overlooked, but it plays a key role in building reliable dashboards. Up next: I’ll be working on creating measures to analyze the data 👀 I’d love to hear from you 👇 Do you always use a Date Table in your projects? #DataAnalytics #PowerBI #DataModeling #SQL #LearningInPublic

Getting Data from Multiple Sources in Power BI Created by Joy Ikwue Introduction The foundation of every successful Power BI report is reliable data ingestion. No matter how visually appealing your dashboards are, poor or inconsistent data will always lead to misleading insights. In real-world scenarios, data rarely comes from a single source. As a data analyst... link https://lnkd.in/esyGh5gc pubDate Tue, 31 Mar 2026 03:31:16 +0000