Why switch from Qlik to Power BI: Benefits and migration tips

Every effective Power BI project begins long before the first measure is written. It starts with understanding the business — its goals, challenges, and the context behind the data. My Power BI Development Roadmap reflects that belief: a structured, collaborative process that transforms raw data into clarity, insight, and confident decision-making. #PowerBI #DataAnalytics #BusinessIntelligence #DataStrategy #Consulting #DataDriven #GrowthMindset

💡 Mastering Cross Filter Directions in Power BI Data Modeling Post Content: When working in Power BI, understanding how cross filters work can make or break your data model’s accuracy and performance. A cross filter defines how filters flow between related tables — and getting this right is key to building efficient reports. 🔹 Single Direction: Filters flow one way (from dimension → fact). 🔹 Both Directions: Filters flow both ways (fact ↔ dimension). 👉 Use single direction for most models (like star schemas). 👉 Use both directions only when relationships need mutual filtering, like in many-to-many scenarios. ⚙️ Pro Tip: Overusing bi-directional filters can create ambiguity and slow performance. Always test your model after enabling them. #PowerBI #DataModeling #BusinessIntelligence #DataAnalytics #MicrosoftPowerBI #DAX #PowerBICommunity #DataEngineer #CrossFilter #Analytics

📊 Mastering Data Modeling in Power BI! Data modeling is the heart of Power BI. It connects raw data to meaningful insights by creating relationships between tables — helping you build interactive and accurate reports. ✨ Why Data Modeling Matters: ✅ Enhances report performance ✅ Simplifies complex datasets ✅ Ensures data accuracy and consistency ✅ Enables powerful DAX calculations 💡 A well-designed model = Faster analysis + Smarter decisions! Here’s a glimpse of how a star schema or relationship model can make your dashboard more efficient and visually stunning. 🌟 📈 Transform your data into a powerful story with a solid model foundation! #PowerBI #DataModeling #BusinessIntelligence #DataAnalytics #MicrosoftPowerBI #DataVisualization #Analytics #DataDriven #PowerBIDashboard #PowerBICommunity

Have you ever wonder why some Power BI dashboards are lightning-fast and easy to understand while others lag and confuse 🤔— the secret often lies in data modelling. Data modelling is the process of structuring your data in a way that makes analysis efficient, accurate, and meaningful. It’s the foundation that supports all your visualizations and insights. Here what a good data model does: 🔹 Connects tables logically using relationships (like one-to-many or many-to-many). 🔹 Eliminates duplicate data by organizing it into fact and dimension tables. 🔹 Improves performance by reducing data redundancy. 🔹 Enables powerful DAX calculations and accurate reporting. 💡#Tip: When it comes to arrangement always go for STAR schema as it’s simple, efficient, and makes your data model easy to manage. #PowerBI #DataModeling #BusinessIntelligence #Analytics #DataVisualization #MicrosoftPowerBI #DataAnalysis

In my latest Power BI project, I was reminded that the true foundation of any successful BI solution lies not in the visuals, but in the data model. The most critical and time-consuming phase is understanding how the data objects relate to one another and designing a model that supports accurate, scalable, and meaningful insights. Once the relationships, hierarchies, and data flows are clearly defined, the visualization layer becomes almost effortless — because the logic is already built into the structure. A well-designed data model doesn’t just make reporting easier; it transforms raw data into a source of truth for the business. #PowerBI #BusinessIntelligence #DataModeling #Analytics #DataStrategy #LearningInTech

The SWITCH function in Power BI enhances analytical efficiency by simplifying conditional evaluations, allowing for cleaner models and more consistent data insights. #DataCleaning #DataAnalytics #PowerBI #PowerQuery #DataQuality #DataDriven #DataAnalyst #BusinessIntelligence

Learn how to build powerful, dynamic reports that drive smarter business decisions. In this advanced Power BI course, you’ll master data modeling, DAX, and report design techniques to deliver impactful insights. - Ideal for experienced users looking to deepen their Power BI expertise - Learn to create interactive, enterprise-ready reports with confidence Next class: Nov 7th https://lnkd.in/gd_vCBqj #PowerBI #DataAnalytics #MicrosoftTraining #TechSkills #BusinessIntelligence #Upskill

🔹 Power BI for Data Analysis 001 — Introduction to Power BI Power BI is a critical tool in modern data analysis, helping professionals visualize, model, and make sense of their data efficiently. In this short video (<90 seconds), I provide a beginner-friendly explanation of what Power BI is, why it’s important, and how it fits into the data analysis workflow. This is the first episode in my Power BI for Data Analysis series — concise, actionable lessons to boost your analytical skills. #PowerBI #DataAnalysis #BusinessIntelligence #DataAnalytics #LearnPowerBI #OluwaseunInsight

✨99% of Power BI users get this wrong✨ ⚡They build beautiful reports, stunning visuals, even perfect DAX formulas but mess up one tiny thing that breaks their entire model.⚡ ➡️ The relationships. Let’s see if you can get this one right 👇 📊 You have three tables in your Power BI Semantic Model: Products (ProductID, ProductName) OrderHistory (OrderID, ProductID, OrderDate) Date (Year, Month, Week, Date) You need to define relationships: Products → OrderHistory OrderHistory → Date Now here’s the catch… 👉 What cardinality should I use between Products and OrderHistory? Think about it carefully 👇 Each product can appear in many orders, but each order can contain only one product (as per this data model). 🚀 Pro Tip: Always start your data model like this: Dimension → Fact → Date What about you? What’s your go-to rule before creating relationships in Power BI? Let’s hear your thoughts 👇 #PowerBI #DataModeling #MicrosoftPowerBI #DAX #BusinessIntelligence #DataEngineering #Analytics #DataVisualization

A mid-sized manufacturing company came to us frustrated Their Power BI dashboards were breaking every week. Data refresh failures. Delayed reports. Missed meetings. Their team spent hours fixing errors instead of analyzing results. That’s where our BI Support & Maintenance team stepped in. -We optimized their data refresh schedules Automated monitoring for dashboard uptime -Set up alerts for data load failures -Delivered consistent weekly performance reports Within 2 weeks, they went from reactive firefighting to predictable performance. Reporting time: 6 hours → 15 minutes Uptime: 99.9% Confidence: Restored. Because insights are only as good as the system behind them. If your dashboards keep breaking or data is inconsistent, it’s time to invest in BI support that runs silently but powerfully in the background. #BusinessIntelligence #PowerBI #DataAnalytics #BISupport #DataMaintenance #KfoldTechnologies #Datascience