Big news! 🎉 intelliflo data sharing is now live, and it’s a game-changer. Built with Snowflake, it gives you real-time, secure access to your data in intelliflo office. No more manual downloads or messy spreadsheets. 💡 Use your favourite tools like Power BI, Tableau, or even your own custom dashboards. 💻 Run SQL queries, pull data via APIs, and make faster, smarter decisions. This is data freedom, it’s available to all UK customers and its just one part of our data management strategy. 👇 Take a look and see what’s possible.

Big news! 🎉 intelliflo data sharing is now live, and it’s a game-changer. Built with Snowflake, it gives you real-time, secure access to your data in intelliflo office. No more manual downloads or messy spreadsheets. 💡 Use your favourite tools like Power BI, Tableau, or even your own custom dashboards. 💻 Run SQL queries, pull data via APIs, and make faster, smarter decisions. This is data freedom, and it’s available to all UK customers. 👇 Take a look and see what’s possible.

The latest Power Bi update gives us two powerful options when working with your data model: 1. Sync Schema Only – Perfect when : 🔹 Your table structure has changed (new columns, renamed fields) 🔹 You’ve updated relationships in the source and need them in the model 🔹 You want to avoid triggering a full data refresh while still staying up to date. 2. Refresh Data Only – Ideal when : 🔹 Your schema is fine, but you need fresh data (daily, hourly, or on demand). 🔹 You’re testing visuals and don’t want schema changes breaking things. 🔹 You want a faster refresh cycle without structural interruptions. This update is a game-changer for anyone managing large datasets, saving time and reducing errors. Note: Use Sync Schema Only during development or after source updates, and Refresh Data Only for day-to-day reporting.

Visual calculations in Power BI are Data Analytics Expressions (DAX) calculations defined on a visual. Unlike measures, they aren't stored in the model, but on the visual you're working with. Visual calculations make it easier to create calculations that were previously hard to create, leading to simpler DAX, easier maintenance, and better performance.

⚡ Advanced Power BI Tip: Optimize with Incremental Refresh Problem: Large fact tables slow down refresh times. Reloading millions of rows daily wastes resources when only recent data changes. Solution: 🔹 Use Incremental Refresh in Power BI Premium or Pro. 🔹 Partition your data — e.g., refresh only last 30 days while keeping historical data static. 🔹 Define refresh and archive periods in Power Query (RangeStart, RangeEnd parameters). Example: A sales dataset with 5 years of data — instead of refreshing all 20M rows, set up incremental refresh to update just the last 1 month. This reduces refresh time from 60 minutes → 5 minutes. Why it matters: Efficient refresh saves time, reduces memory usage, and keeps reports responsive — essential for enterprise-scale datasets.

"One workflow I keep coming back to in Power BI is building governed KPI dashboards. Here’s the simple breakdown I use 👇 1️⃣ Connect – Bring in multi-source data (Snowflake, Excel, APIs) into a single model. 2️⃣ Model – Define relationships and write DAX measures for consistency (no more copy-paste formulas). 3️⃣ Validate – Run checks against raw data sources to make sure every KPI matches what finance or ops teams expect. 4️⃣ Visualize – Build interactive views with drill-through and filters, so stakeholders can answer their own questions. 5️⃣ Share – Publish to a workspace with row-level security, so the right people see the right numbers. This workflow has saved me countless hours of manual reporting. At McKesson, it reduced ad-hoc requests by 30% because teams trusted the data and could self-serve. 💡 The tool is powerful, but the real value comes from keeping it simple, consistent, and reliable." #PowerBI #DataAnalytics #BusinessIntelligence #SQL #DataQuality

⚡ Advanced Power BI Tip: Optimize DAX Performance Like a Pro 🧩 Problem Your Power BI reports load slowly even though your visuals and dataset seem small. The culprit? Inefficient DAX measures that force Power BI to scan too much data. 🧠 Solution Use these DAX optimization strategies: 1. Avoid using CALCULATE unnecessarily — each call adds context transitions. 2. Use variables (VAR) to store intermediate results and reuse them. 3. Prefer SUMX over FILTER + SUM when iterating over rows. 4. Replace IF with SWITCH for multiple conditional logic (faster evaluation). 5. Use proper data types — integers and booleans calculate faster than strings. 💡 Example Instead of this ⛔: Total Sales := CALCULATE( SUM(Sales[Amount]), FILTER(Sales, Sales[Region] = "East") ) Use this ✅: Total Sales := VAR EastSales = FILTER(Sales, Sales[Region] = "East") RETURN SUMX(EastSales, Sales[Amount]) 🚀 Why It Matters Optimized DAX = Faster visuals, smoother navigation, and happier end-users. Even small formula tweaks can reduce refresh time by 30–50% in large datasets.

Power BI now lets you choose: Sync Schema or Refresh Data Only You now have complete control over how refresh works in Power BI Desktop. Previously, clicking Refresh always did two things: synced the schema (bringing in any new or changed columns) and then updated your data with the latest rows. While convenient, sometimes that wasn't ideal—especially with Direct Lake models, where you may want current data without updating your model structure when tables gain new columns. With the latest update, there are now two distinct choices: Select “Sync schema only” to update the model structure. Select “Refresh data only” to just get new data, keeping the schema unchanged. A simple change, but it offers far greater control over your data management.

Tip of the week : Metric comparison in Datama Extension You can now directly compare two metrics (numeric columns) in DatamaExtension! For example, if you need to compare your Budget and Actual Revenue, it only takes a few clicks. ✅ Make sure both metrics are added in the Setup panel of your BI tool. ⚙️ Go to Settings → Comparison Definition → Compare by Metric, then select the metrics you want to compare, give this step a name, and click Apply.

📌 Power BI Desktop Gets Smarter with New Refresh Options! 🔄 New Refresh Options Available 1️⃣ Data + Schema → Traditional full refresh (structure + latest records). 2️⃣ Schema Only → Updates changes in the data source structure (e.g., new columns/tables). 3️⃣ Data Only → Pulls the latest data without altering the model schema. 💡 Why this matters? * Previously, refresh always meant schema + data together. * Now, developers can skip schema updates if they’re not ready for structural changes (e.g., new columns that may break visuals). * This provides more control, efficiency, and stability, especially in production reports. 📊 Practical Use Case: Imagine a source system adds a new column you don’t want in your model yet. With the new refresh options, you can still refresh only the data without impacting schema or visuals. #PowerBI #PowerBIDesktop #DataRefresh #MicrosoftPowerBI #PowerBICommunity #DataAnalytics #BI #DataVisualization #Analytics #BusinessIntelligence #MicrosoftFabric