Data visualisation is like a new language. Not only does it help us produce beautiful and fascinating representations, but it also allows us to more readily manage and understand what datasets actually mean.

The challenge

Managing large volumes of data

Data is becoming larger and more complex, as we study and learn more about the world.

While data in its raw form contains highly valuable information, it's extremely difficult for researchers to draw patterns and make conclusions from it accurately, let alone quickly or to precise detail.

Rudimentary data visualisation such as charts, maps, tables and graphs have been around for a very long time, but are no longer adequate for big data researchers, who government and industry are working with to solve the world's greatest challenges.

Our response

Giving data meaning

We're using data visualisation techniques, such as computational 3D modelling, to address a broad range of research areas and give big data meaning.

It's opening up new areas of research as scientists can do more with data, faster than ever before.

We're combining visual and automated analysis so that pairing data becomes more powerful. Users can seamlessly look at their data and perform computations on it, refining their analysis with each step.

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