Struggling to meet brand guidelines in your data visualization designs?

Primero que nada hay que solicitar la guía de estilo de la marca, y en caso de que no éxista crear una versión mínima, sólo para temas de visualización de datos, que puedan aprobar los usuarios y que pueda evolucionar con la marca. Luego es importante técnicamente, exprimir las capacidades de las herramientas de visualización que utiliza la empresa para usar estilos, con la menor cantidad de trabajo y de la forma más centralizada posible, de forma que el trabajo de adaptar a la marca sea estandar, simple y con la menos cantidad de trabajo manual posible. Por ejemplo en Power BI tenemos disponible la opción de temas, en donde se pueden centralizar no sólo los cólores y fuentes sino muchos otros aspectos de la marca.

Observing the points of visualization designs and storytelling will create a good report. Use the colors you have in your brand and have the same range of colors. I suggest that you give meaning to the colors in your visualization. For example, bright colors have the meaning of number and size, and the lighter the color, the smaller the number or the less important. (give the meaning of weakening) Or you can use red color for warning and green color for positive meaning. Consider blue for a neutral concept. Try not to use more than 5 different colors in your entire work. Maintain your color spectrum.

To meet brand guidelines in your data visualization designs, start by incorporating the company’s color schemes, fonts, and logos consistently across all visuals. Use style guides or templates to ensure uniformity in the design elements and maintain a cohesive look. Regular collaboration with your brand team is key to ensuring the visuals align with the overall brand identity, while still conveying data effectively.

Also make post about your brand Talk about your brand, tell us the story behind it if any What motivated you to brand? The meaning of any color in it, if any Get more knowledge in your brand and stay competence

If you're struggling to meet brand guidelines in your data visualization designs, start by thoroughly understanding the visual identity of the brand, including colors, fonts, and design principles. Use pre-approved templates or style guides to ensure consistency. Align the tone and layout with the brand’s messaging to keep visualizations on-brand. Collaborate with the branding team to incorporate feedback early in the design process. Ensure accessibility standards are met while balancing aesthetics, and always test your designs to confirm they adhere to the brand's standards.