Discover how Power BI Copilot is revolutionizing the way businesses gain insights and make informed decisions. Explore step-by-step solutions to overcome common challenges faced when integrating Copilot with existing Power BI models. With practical tips and strategies, this blog will guide you on maximizing the benefits of Power BI Copilot, ensuring quick wins and long-term success.
The Journey
In this blog, we will cover our customer’s Power BI Copilot journey in the following areas:
- Model Building and Copilot Performance: How the model was built and how Copilot performed on top of it.
- Identifying and Addressing Accuracy Issues: Uncovering why less accurate answers were generated and optimizing the model to address these issues.
- Fixing Model Aspects: Addressing relationships, synonyms, linguistic modeling, unused measures, naming conventions, and more.
- Testing and Prompt Engineering: Our methods for testing and improving accuracy through prompt engineering.
- Learnings and Recommendations: Insights and recommendations to enhance the Copilot experience.
- Investment in this Technology: How to get the best value from reports by combining traditional reporting with Copilot.
- Is it worth the development effort?: Is it worth investing time in finetuning the model to enable this technology? How will it unlock various aspects in the future?
- Future of Reporting: The roadmap for Copilot in Power BI and how the future of reporting will change in the coming years.
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