A third possible reason why your data visualization tools are not delivering results is that your visual design is suboptimal. Visual design encompasses the aesthetic and functional aspects of your visualizations, such as colors, shapes, sizes, fonts, layouts, and interactions. Poor visual design can make your visualizations confusing, distracting, or boring and thus reduce their impact and effectiveness. To optimize your visual design, you should follow the principles of data visualization design such as simplicity, clarity, consistency, and contrast. Additionally, use appropriate visual elements and attributes to represent your data and emphasize key points while avoiding too many or irrelevant elements that can clutter or distort your visualizations. Moreover, apply color theory and psychology to enhance your visualizations and convey emotions and meanings while avoiding colors that can clash, mislead, or offend your audience. Lastly, test and refine your visualizations with feedback from your audience and stakeholders to ensure they can understand and appreciate them.