Strategic, analytical or operational — what types of dashboards are there, how do they differ and when does which type bring the greatest benefit?
The ten most important design best practices for clear, user-centered dashboards — from color selection and layout to interactivity and navigation.
From requirements analysis to wireframe to finished dashboard: step-by-step instructions for a structured design process.
How Power BI and Tableau differ in dashboard design — with practical examples and recommendations for use.
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With her many years of experience in business intelligence & data analytics, Sophia pursues the goal of gaining clear insights from complex data and making trends visible. Her focus is on innovative approaches that make data effectively usable — for better decisions and a successful transformation towards data-driven thinking. Sophisticated dashboard design plays a central role for them in presenting information in an understandable, visually appealing and action-oriented way.
A good dashboard is created step by step, from the definition of requirements to conception and MVP development to the test phase and adjustment. Close coordination with stakeholders, tests with the target group and consideration of design, accessibility and comprehensibility are important.
Good dashboard design starts with the needs of users and not with as much data as possible. Important features include a clear overview, useful drill-downs, appropriate visualizations, good navigability, clear design and a deliberate use of colors.
A dashboard should help users answer specific questions and quickly collect information. Therefore, goals, requirements and context of use should be understood first before key figures, visualizations and layout are defined.

Individual trainings with your own data for analytics & AI.

Development of a central analysis platform and improvement of the data culture.

BI solutions that provide orientation, establish trust in figures and really support decisions.