Without an attractive user interface, the potential of ‘big data’ would be difficult to exploit. The data sets are simply too big to draw conclusions from raw data. A good visualisation needs to do two things in particular. It should enable the user to evaluate their data intuitively, while the results should be presented in an attractive, easy-to-understand way compared to other results.

We achieve both of these through the use of interactive visualisations. In contrast to static graphics, an interactive user interface allows the user to examine their data directly in visual form. For example, they can make ad hoc detailed queries in specific places, obtain more detailed information or filter and segment data, thus enabling them to draw conclusions in interesting ways.

Using interactive diagrams and graphics, analysts can also impressively and clearly present their results. By highlighting key details using mouseovers, for example. This allows a speaker to guide and accompany their listeners, whether it’s management or colleagues.

Exploring data sets is more rewarding and attractive in presentations, and is also a lot more fun.