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The Research Office @ RAU

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Data visualization tools



„All the data in the world is useless – in fact it can become a liability – if you can’t understand it. Data visualization is about how to present your data, to the right people, at the right time, in order to enable them to gain insights most effectively”.

(Bernard Marr, Forbes, 2017)

Data visualization means the graphical representation of information and data using visual elements like charts, graphs, and maps. This way, the analyst provides an accessible way to see and understand trends, outliers, and patterns in data. The visualization influences the impact of data on the business strategy by identifying what insights to extract, how to work on data assets, and how to develop strategies over time (

In 2018, some of the top data visualization best practices included standardized methodology, clear classification of visualizations, data profiling, and data presentation based on its audience  ( In 2019 the focus is more on data storytelling in the analytics process according to Tableau’s 2019 Business Intelligence Trends report.

The best data visualization tools for 2019, according to, and are (in alphabetic order):


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