Many analysts focus heavily on the accuracy of their data but overlook an important element that affects how users experience reports and dashboards: color. In the video "Color Theory for the Data Analyst (Without Being a Designer)", Allison Gonzalez, a Microsoft Certified Trainer at Pragmatic Works, explains how color can transform the usability and clarity of reports built in tools such as Power BI, SharePoint, Power Apps, and Power Pages.
Drawing from her background in web design and her current role teaching Microsoft technologies, Allison Gonzalez highlights that color is not simply decoration. Instead, it serves as a form of communication that guides users through information. When used intentionally, color can improve readability, establish hierarchy, and make insights easier to understand.
According to Allison Gonzalez, one of the most common design mistakes analysts make is misusing color. Reports often feel overwhelming not because the data is incorrect, but because the color choices are chaotic or overly complex.
Color plays several critical roles in data visualization and digital design:
If a color does not serve a clear purpose, Allison explains that it probably should not be included in the design. Keeping color intentional helps maintain clarity and professionalism in reports and dashboards.
To apply color effectively, Allison Gonzalez introduces the basic structure of the color wheel. This framework helps analysts understand how colors relate to one another and how to build visually balanced palettes.
The color wheel includes two primary categories:
Understanding these relationships allows analysts to choose colors that naturally work together. Randomly selecting colors from across the color wheel often creates visual noise, while related colors create structure and harmony.
Allison Gonzalez also explains three essential properties that influence how color appears in reports and dashboards:
These characteristics are particularly important for readability and contrast. Adjusting saturation and lightness can significantly improve the overall appearance of a report without changing the base color itself.
Rather than selecting colors randomly, Allison Gonzalez recommends using structured color combinations. These combinations are commonly used in design and can be applied easily to analytics tools.
These structured approaches help analysts create visually consistent dashboards without needing a formal design background.
Allison Gonzalez emphasizes that analysts do not need to build color palettes from scratch. Many tools and palette generators are available online to simplify the process. Additionally, many organizations already have defined brand colors that can be used for reports and dashboards.
When building a practical palette, she recommends keeping the number of colors limited:
Using too many colors can quickly make a report look cluttered. Practicing restraint in color choices is a sign of design maturity and professionalism.
Accessibility is another critical aspect of color usage. Allison Gonzalez highlights the importance of following Web Content Accessibility Guidelines (WCAG), which ensure digital content can be used by people with visual impairments.
One of the most important accessibility requirements involves contrast between text and background colors. The WCAG standards recommend the following minimum contrast ratios:
Using contrast analyzer tools can help verify whether color combinations meet these standards. This step ensures that text remains readable and that visual components such as icons remain visible.
Accessibility is especially important because some users experience color blindness, particularly red-green color blindness, which is one of the most common forms.
Throughout the session, Allison Gonzalez reinforces that color should support storytelling in data analytics. The purpose of visualization is not simply to display information but to guide users through insights.
When used correctly, color can:
Poor color choices, on the other hand, create friction and confusion, making reports harder to interpret.
Color theory does not require an art degree to apply effectively. As Allison Gonzalez explains, understanding a few core principles can dramatically improve the quality of reports, dashboards, and digital applications.
By using structured palettes, maintaining strong contrast, and applying color intentionally, data analysts can create visuals that are not only accurate but also clear, accessible, and visually engaging.
Ultimately, color is a powerful communication tool that helps transform raw data into meaningful insights.
Don't forget to check out the Pragmatic Works' on-demand learning platform for more insightful content and training sessions on Power BI and other Microsoft applications. Be sure to subscribe to the Pragmatic Works YouTube channel to stay up-to-date on the latest tips and tricks.