7 April 2023 Rubber Duck debugging Share this message “I’ve done everything right, so why doesn’t it work?” We’ve all been there. You’ve crafted a script or expression that should do exactly what you intended. Except it doesn’t. You stare at the code and scrutinize every expression, but the error still eludes you. In cases like these, Rubber Duck debugging, or Rubberducking, can be a very helpful technique. What is Rubber Duck debugging? When you apply Rubber Duck debugging, you explain your code and its expected result step by step in natural language. As the name implies, your counterpart in this exercise is typically a rubber duck. Of course, you can also use other objects, pets, or even non-technical coworkers. While you explain your code, you’ll (hopefully!) run into a step where the intended action you’re explaining doesn’t match with what’s actually happening. Quack! Eureka! Problem solved. Get your own Bitmetric Rubber Ducky! Whether you are already applying this technique, or want to start using it, you can now augment and enhance your experience with your very own Bitmetric Rubber Ducky. How can you get one? Attend any of our onsite events, keep an eye out on our blog posts and LinkedIn page for upcoming events. Quack quack! 🦆 More from the Bitmetric team Bitmetric Qlik Support Keep your Qlik environment running smoothly with proactive support that prevents issues before they appear. Available on flexible monthly plans. Learn more. Qlik vs Power BI Series See how Qlik and Power BI perform when theory meets reality. Three apps rebuilt, every step examined. Learn more. How can we help? Whether something’s still unclear or you’re ready to take the next step, Barry and Eric are happy to talk it through. Email us, call us, or book a meeting at a time that works for you. Call us Mail us 1 September 2026 Qlik Answers review: What we learned from real-world testing We tested Qlik Answers on a real production sales model to see how it handles real-world analytics. The results were promising, but getting reliable answers required careful work on the logical model, master measures, dimensions and business context. AI Data Analysis Qlik Semantic Layer 25 August 2026 Your semantic layer is becoming the API for AI Semantic layers are not new, but AI is giving them a new role. Where they once primarily powered dashboards, semantic models are increasingly becoming the layer that provides AI with reliable business context. AI Data Governance Microsoft Fabric Qlik Semantic Layer TimeXtender 17 August 2026 Putting AI to work on your data works. But not like this. Putting AI to work on your data sounds simple. But what can we learn from organizations already doing it? Based on Anthropic’s experience and independent research: what works, what doesn’t, and why maintenance is where the real work lies. AI Data Governance Data Management Power BI Qlik
1 September 2026 Qlik Answers review: What we learned from real-world testing We tested Qlik Answers on a real production sales model to see how it handles real-world analytics. The results were promising, but getting reliable answers required careful work on the logical model, master measures, dimensions and business context. AI Data Analysis Qlik Semantic Layer
25 August 2026 Your semantic layer is becoming the API for AI Semantic layers are not new, but AI is giving them a new role. Where they once primarily powered dashboards, semantic models are increasingly becoming the layer that provides AI with reliable business context. AI Data Governance Microsoft Fabric Qlik Semantic Layer TimeXtender
17 August 2026 Putting AI to work on your data works. But not like this. Putting AI to work on your data sounds simple. But what can we learn from organizations already doing it? Based on Anthropic’s experience and independent research: what works, what doesn’t, and why maintenance is where the real work lies. AI Data Governance Data Management Power BI Qlik