Copilot has this feature, which, being in Power BI, advises visualizations to include for your data. Natives analyze your data set for key patterns, relationships, and data types to come up with any visualization that best represents your information because it has sales data divided by region and time. For example, suggest a line chart that will display trends over time or a clustered column chart to compare those regions.
These automated suggestions are also customizable, meaning you can modify them whenever Copilot throws a visualization for you. For example, you can adjust the chart type, fine-tune the filters, or change the formatting so that it fits your reporting goals. This ensures that while he gives you headroom, everything still belongs to you.
This speeds up the process of exploring the data and makes it more intuitive, particularly for users who are not sure which visualization is right for their data. For example, suppose you were unsure whether you would create a revenue versus expense chart. In that case, you should consider having Copilot make a dual-axis or waterfall chart to help you spend your time actually deriving insights instead of worrying about the technical setup.