Developing an Analysis Centric Power BI model, utilizing the four AI visual types in the desktop, can bring a lot of bling to your report; however, how well do these AI visuals perform in answering business questions? Do they create more questions from our end users than they answer or bring new insights to the data?
We’ll walk through each of the 4 AI visuals native in Power BI: Key Indicators, Smart Narratives, Q&A and Decomposition Tree, exploring how to set them up in a model. Then, we’ll break down each one to assess their true effectiveness in analyzing the data. Finally, we’ll list the Pros and Cons for each visual; and along the way, discuss how your data plays a large role in results.
As a bonus, we’ll do a deep dive into the Q&A Settings options. You have the option to manually add your synonyms to the metadata in the model view OR Susan can show you how to master the settings inside the Q&A visual to supercharge training the synonyms model and share synonyms within your organization.
Come on over for a demo rich presentation and interesting discussion; let’s deep dive together.