Data + Design, the perfect combo for effective dashboards !

Visual cues and user experience play an integral part of how we process, understand and retain information. This is particularly important when trying to transform raw data into actionable insights.
While designing dashboards can be a daunting task, it can be the key in promoting adoption and making sure it conveys the intended message and analysis.

Why use design in your data projects ?

Why data design

👉 Make complex data more accessible, understandable and usable

👉 Present and communicate information clearly and efficiently

👉 Enable effective decision making

How Data design

👉 Improve cognition by utilizing graphics

👉 Select effective visualizations

👉 Understand and adapt delivery to the audience and environment

The 5 key Data Design principles

Mydral Data design best practices will turn data into beautiful visualizations and user-friendly experiences. Focus on creating engaging, effective and visually stunning dashboards while handling complex data to make better decisions.



Choose the right size


The types of graphs

Choose the best chart for your data


UX : user experience

UX for an ergonomic analysis



For a clear hierarchy of typographic elements


The visual brand identity

Make the elements of your brand visible

Make Better decisions with Tableau Data Design

Why size matters ? Both the « One Page » or « Dashboard » formats are the ideal standards recommended for optimal web browsing and to facilitate the readability of your dashboards. Picking the right graph is fundamental for comparisons, compositions or distributions.

UX plays a decisive role in storytelling : the layout of infographic elements inlfuences the message you convey. Considering all the data design elements when building your dashboard will help you create a functional and user-friendly design; this will make it easier to read and understand your analysis.

Check out our Data Viz gallery !


Dive into data journalism

Traditional reporting extracts data but is static, only providing a summary of information without much detail (ex : Business Object, Excel …). Dashboarding, on the other hand, is built to visualize and organize data in real-time with :

  • Storytelling : translate your complex data analyses into a creative story for end-user.
  • Data Journalism collects, filters, and presents information in a new way to explore data and easily create visual stories. 

Read the following article What is Data Journalism  ? (coming soon)

Mydral Data Design resources

KNIME server data prpe