Improving data visualization in Power BI involves proper design, storytelling, and technical optimization. Choose the right chart type from those available to best depict the data you want to display: bar charts for comparisons, line charts for trends, or scatter plots for correlations. However, keep the dashboard tidy and focused by having only a few visuals on each page; ensure an overall look by maintaining similar colors, fonts, and alignment.
Support better storytelling through tooltips, drillthroughs, and bookmarks so as to develop good context without jamming up the main view. Dynamic titles explain KPIs as they change with the users' selections, ensuring greater interactivity with the report. In addition, DAX measures can be used to drive better insights through useful aggregation and custom business-fitted calculations.
From the technical perspective, you can do this by reducing visuals, using aggregations instead of raw data where possible, and ensuring the relationships between tables are properly structured. Moreover, when you really want paginated forms but require tight formatting so that you can print or export the document, Power BI Report Builder is a good tool.
