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Data Visualization Design
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Data Visualization Design

Delivering data visualizations that provide insights, are easily consumable, and support effective decision making.

As data analysis and processing becomes more advanced, the need for advanced data visualization becomes an essential aspect of product design. Whether the data analysis is stemming from AI or more traditional statistical analysis or both; data visualization is more than applying templates.

INSIGHTS COMMUNICATED
  • DataViz that is efficient and intuitive for your users.
  • Design and insights that increase business agility.
  • Data visualization designs that deliver to your business needs.
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HOW WE DO IT

  1. 1

    Work from the audience definitions, user stories and other key UX and business artefacts to understand user needs and context.

  2. 2

    Develop interactive concepts - prototypes - that allow the user to view, analyze and interpret the relevant data.

  3. 3

    Assess with user feedback the effectiveness of the dataviz and overall experience.

  4. 4

    Iterate the design so it meets both user experience needs and business goals.

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WHAT YOU GET

With our evidence-based, human-oriented approach to data visualization design, you'll get:

  • Effective data visualization design that supports decision making, confidence, and efficiency.
  • A collaborative, iterative design process which incorporates business goals and user requirements in the context of small or big data.
  • A data visualization that is coherent with your brand and overall user experience and maximizes the actual application of the data and not only its presentation.
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Our foundation
Experience thinking perspective

Experience Thinking underpins every project we undertake. It recognizes users and stakeholders as critical contributors to the design cycle. The result is powerful insights and intuitive design solutions that meet real users' and customers' needs.

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