We offer Virtual Reality Data Visualization as a Service.
You have a set of larger or big data and a requirement of what you want to do with it? Be it either analyzation, presentation or even use for educational purposes. We work out a concept for visualization and interactivity, working with rapid prototyping techniques to make sure the final application will fullfill your needs.
The step into Virtual Reality
Large amounts of data (big data) are difficult to manage in their usual form, for example as values in a table. Often, correlations are not obvious and it is difficult to extract the quintessence from them. This makes working with complex data inefficient and tedious.
With Virtual Reality, on the other hand, it is possible to fall back on virtual multidimensionality, which enables the viewer to interact with three-dimensionally represented information and to analyze, evaluate and put it into context from different perspectives. Different data sets can be made dependent by interactions, whereby relationships between these become immediately apparent.
Our first use case
Originally, we started by visualizing data so that we could gain a better understanding:
As we originally come from Game Design, we wanted to analyze games that were published over the decades, their sold units, their genre, critic scores etc. to see how well certain types of games did and to identify reoccuring trends.
There is a data base for that and as data bases do, it came in form of a big excel sheet. Out of that we could draw plots but some information has to be sacrificed when you only got two axis. So if we saw peaks in sales of a publisher or a game it was harder to examine that individual point.
So we transferred our Data into Virtual Reality. That gave us a whole new dimension to work with. We could switch easily between the displayed values, examine individual points a lot faster and recognize relationships between year and genre for example.
Pros of VR Visualization
Using a virtual data room as an example, these interaction examples show that the collection and processing of data can be experienced in a new way with virtual reality applications and enables fast, efficient working.
You can animate changes in your data over time so they are easier to comprehend. We step through the released games of each year and see which publisher releases the most.
The interactivity made our market analysis not only faster but more fun. So after that expercience we wanted to bring this efficency and joy to other people working with larger and big data.
When you render your plots in VR like we saw in the first animation, you already enjoy some of the VR benefits. You have potentially endless space to work with, not only one screen. You can identify clusters in relation to 3 variables and draw your conclusions.
There are a few tools out there that do that. But that alone doesn’t always cut it.
We believe an individual approach is needed to display data in a way that is more suitable for humans and the needs of our customers. We also know how important intuitive controlls are to work efficiently. Since you not only use your visual but also your haptic senses, your brain is more active and thus more receptive. By transferring the data into every day shapes we make them more approachable and easier to overlook.
Let’s switch over from market analysis to science, from static to dynamic data.
Here we have a look at temperature change on a global level. We have a dataset of temperature measured in the past, represented by color and size of the beams on the globe. Other things relying and influencing the climate, like carbon dioxid and methan gas in the atmosphere may be displayed as well. We also implemented a set of temperature values for tipping points of certain reagions. Now you can manipulate these values. For example increase carbon dioxid and see how it changes temperature which in term changes the amount of methan gas in the atmosphere cause the tipping point of the ice in siberia is reached. With that you have an approachable, every day visualization of your data that you can interact with and show it to others that are not used to working with larger data.