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querixa
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Re: Your Dashboard Can’t Answer This… But This AI Can (Power BI + PowerMind)
Thanks, really appreciate it. We integrated it as a custom Power BI visual, so the assistant sits directly inside the report canvas and interacts with the report context (filters, semantic model, navigation), rather than being an external chatbot. If you’d like to see exactly how the integration works step by step, you can check the demo here: https://querixa.com/#demo1.5KViews1like0CommentsRe: Allowing users to ask natural language questions to Power BI dashboards
Hi Anonymous, Thank you for the follow-up, really appreciate the support from you and the community. This post was more about sharing an approach and gathering feedback rather than solving a specific issue, and the insights shared were helpful. We’ve actually been exploring this topic further, especially around how adding a conversational layer inside Microsoft Power BI can reduce dependency on analysts and make reports more accessible to business users. One interesting observation so far is that users tend to ask questions that were not initially anticipated when designing the dashboard, which opens up a completely different way of interacting with data. I’d still be very interested to hear if others in the community are experimenting with similar approaches or have feedback on this direction. Thanks again for your support. Best regards, Querixa2.7KViews0likes3CommentsRe: Your Dashboard Can’t Answer This… But This AI Can (Power BI + PowerMind)
Hi, You actually have two options: • Free version: you can use the visual for free by connecting your own DeepSeek API key (so usage depends on your API plan). • Managed license ($19.99): everything is handled for you (no setup needed, API included), so you can just plug and play. You can check all the details here: https://querixa.com/2.3KViews0likes0CommentsYour Dashboard Can’t Answer This… But This AI Can (Power BI + PowerMind)
Dashboards are powerful… but they have a fundamental limitation. They can only answer the questions they were designed for. Every new business question often means: • Creating new DAX measures • Updating the data model • Rebuilding visuals And over time, reports become heavier, more complex, and harder to maintain. --- 💡 This demo explores a different approach: What if your report could answer questions dynamically, without constantly adding new logic? --- 🚀 In this report, an AI layer (PowerMind) is integrated directly into Power BI. It allows business users to: • Ask questions in natural language • Get instant insights and explanations • Explore scenarios without modifying the report • Access answers that were never predefined --- 📉 Impact on report design: Instead of continuously adding: → Dozens of DAX measures → Complex logic for every scenario You can: → Keep a leaner data model → Reduce the number of measures → Let the AI handle exploratory and unexpected questions --- 🧠 From a business perspective: Users often rely on analysts to: • Interpret results • Answer follow-up questions • Provide deeper insights This creates delays and bottlenecks. With this approach: → The report becomes an assistant → Users get answers instantly → Decision-making becomes faster and more autonomous --- ✨ User experience: Beyond functionality, this also makes reports more engaging and intuitive. In this demo, the AI is integrated in three ways: 1. Embedded directly in the main page. 2. Full-screen experience (see second page) 3. Popup assistant (click the icon in the bottom-left corner) This allows different interaction styles depending on the user’s needs. 🔗 Try the interactive report: https://app.powerbi.com/view?r=eyJrIjoiZjAxNmQxZGEtNTliNi00MGRmLWIzMjktMGNkNWVmYzdmYTZhIiwidCI6IjkyMDE4ZTVmLWI1MzctNDQ1MS1iYWVhLThhNTQ5MTRiYmVhMSIsImMiOjF9 --- 🧠 Powered by PowerMind (Querixa) If you're working with Power BI and exploring how to make your reports more intelligent, lighter, and more interactive: 👉 https://querixa.com Happy to hear your feedback and thoughts. #PowerBI #MicrosoftFabric #BusinessIntelligence #DataAnalytics #AI #GenerativeAI #ConversationalAI #SelfServiceBI #DecisionMaking #DataDriven #Analytics #CustomVisual #PowerBICommunity #DigitalTransformation #AugmentedAnalytics #ModernBI #Copilot eyJrIjoiZjAxNmQxZGEtNTliNi00MGRmLWIzMjktMGNkNWVmYzdmYTZhIiwidCI6IjkyMDE4ZTVmLWI1MzctNDQ1MS1iYWVhLThhNTQ5MTRiYmVhMSIsImMiOjF9Re: AI features in Power BI ( without Copilot)
You've covered most of the built-in AI features well. Beyond your list, you might also consider the **AI Insights** from the AppSource (like Text Analytics or Vision) if you need pre-built cognitive services. For a more integrated, conversational experience directly in your reports without a Copilot license, you could explore embedding a custom solution like **PowerMind**, which connects to your semantic model to answer natural language questions. It's fully customizable to your data. If you're curious about how that works in practice, I recently shared a demo of this approach on LinkedIn: https://www.linkedin.com/posts/querixa_powerbi-microsoftfabric-dataanalytics-activity-7439451185696305152-wfFC?utm_source=share&utm_medium=member_desktop&rcm=ACoAACyDUKQBQhomDtRhx1YhG-beulUuVD5DR8w https://www.youtube.com/watch?v=JPscIa7SNZw4KViews0likes0CommentsRe: AI driven Data Analysis functionality in power bi dashboard
I understand you're looking for that ""Analyze"" feature for variation explanation. That specific functionality is part of Power BI's AI visuals, like the ""Key Influencers"" visual, which helps explain metric variations. However, it requires a Copilot license for full natural language interaction. If you're looking for an alternative that provides similar instant insights without additional licensing, you might find this approach interesting: I've been using PowerMind, an AI assistant embedded directly in Power BI dashboards. It answers natural language questions about your data and works with any data model. It's particularly useful when you need quick explanations for data point variations without switching contexts. You can see how it handles similar analysis in this LinkedIn demo: https://www.linkedin.com/feed/update/urn:li:activity:7438407183161065472435Views0likes0CommentsRe: Chatgpt like Model in Power BI
Integrating unstructured PDFs like Oracle release notes directly into Power BI can be challenging, as you've experienced. One approach is to use a separate AI service to process the PDFs, extract structured insights, and then feed those into your semantic model for comparison. This often involves Azure OpenAI or similar APIs to analyze the text and identify potential table impacts. In my own work, I've found that embedding an AI assistant directly into the dashboard can help bridge this gap, allowing natural language queries against both your data model and external documents. For example, a tool like PowerMind enables you to ask questions about your metadata and cross-reference it with processed release notes without needing a separate Copilot license. You might want to check out this LinkedIn demo showing how an AI assistant can be integrated into Power BI for similar use cases: https://www.linkedin.com/feed/update/urn:li:activity:7438407183161065472. It could give you some practical ideas on handling unstructured data alongside your semantic model.543Views0likes0CommentsRe: Modelo tipo ChatGPT en Power BI
Hola, entiendo completamente el desafío que describes. Trabajar con datos no estructurados como PDFs de notas de lanzamiento en Power BI puede ser complicado, ya que el modelo semántico no está diseñado para procesar ese tipo de contenido directamente. Una opción que podría funcionar es usar un enfoque de RAG (Retrieval-Augmented Generation) fuera de Power BI para procesar las notas, y luego integrar los resultados en tu modelo. Sin embargo, si buscas una solución más integrada, he visto herramientas como PowerMind que permiten conectar asistentes de IA personalizados directamente en los dashboards de Power BI, accediendo tanto al modelo semántico como a fuentes externas. Podrías explorar cómo configurar un agente que combine tu modelo existente con documentos externos. Te sugiero revisar este demo de LinkedIn donde muestran una integración similar: https://www.linkedin.com/feed/update/urn:li:activity:74384071831610654721.3KViews0likes0CommentsRe: Is there any implementation (for ref.) of custom LLM models/Gen AI models hit by Power BI Reports?
Your approach is technically sound and aligns with how many are exploring this space. Using the Power BI REST API or XMLA endpoint to fetch metadata for context, then leveraging Azure OpenAI to interpret the question and generate the correct DAX or query is a solid path forward. The main challenges you'll likely face are structuring those prompts effectively and handling complex, multi-step questions reliably. In a similar scenario, I've also seen teams use a more direct integration where the natural language layer is embedded directly into the Power BI report itself. This can simplify the architecture by removing the need for a separate app to broker the conversation and query. The assistant interacts with the data model in real-time. If you're interested in that alternative approach, I shared a demo on LinkedIn showing an AI assistant built directly into a Power BI dashboard. It might give you another perspective on the user interaction piece: https://www.linkedin.com/feed/update/urn:li:activity:7438407183161065472559Views0likes0CommentsRe: Fabric Data Agent as a chat window in a browser
Hi there, That's an interesting idea, embedding a chat interface directly into a Power BI dashboard for natural language queries. While the Fabric Data Agent itself isn't designed as an embeddable chat widget, you can achieve similar functionality with custom solutions. I've been exploring this by integrating a conversational AI assistant directly into dashboards, which allows users to ask questions in plain language and get instant insights without leaving the report. If you're looking for a practical example, I recently shared a demo on LinkedIn showing how this can work seamlessly inside Power BI, without requiring additional Copilot licenses. You might find it helpful to see the approach in action: [LinkedIn demo](https://www.linkedin.com/feed/update/urn:li:activity:7438407183161065472).1.5KViews0likes0Comments
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