How Will Virtual Reality Transform Big Data Visualization?

Mar 1, 2018

data visualization

Data is the new gold mine for any business. Modern companies are on the constant lookout for intelligent techniques and methods through which they can better analyze the data available to them. The traditional techniques of bar graphs and pie charts have almost become obsolete, especially as the volume of data is surging. Though there is a multitude of technological capabilities that enterprises have been using to retrieve meaningful outcomes from the available data, the use of virtual reality in transforming big data visualization is a relatively new concept. The huge amount of data generated by a firm can be understood only through a series of analytic steps, and visualization plays a vital role in enhancing this strategy. Take the example of how VR technology solved Goodyear’s woe through data visualization. Goodyear, a popular tire manufacturer, wanted to know why they were losing races. The company built a complete simulation of its racing tires by looking at the entire historical data set.  With the help of simulation, it was possible to check the tires’ performance in real-time for minor adjustments.

Here are some of the other ways in which virtual reality can transform big data visualization :

Dynamic Analysis of Data

Seeing data life-size in front of your eyes is a more interesting and engaging method to understand data when compared to the traditional ways in which data analysis is carried out. Also, interactivity is the key to understand and handle big data properly. Data visualization through virtual reality can aid in interactivity and dynamic analysis of data because you can actually reach out and touch data. Interactivity further helps in comprehending and manipulating data.

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Immersive Data Visualization

Immersive data visualization is the new buzz word among data scientists. This technique is a step ahead of 3D data and is used to perceive and manipulate data in VR. This technique is especially useful in the case of large datasets. There are specific tools to immerse data visualization through virtual reality, which when coupled with haptic or kinesthetic interfaces makes it possible to capture body language, human touch, and expression, making it an entirely different art and science.

Cross-referencing Data

When data is put on paper or a digital screen, we often overlook certain details. But when there is access to data visualization through VR technology companies can capably stack relevant data, pair it and create visual cues that can be cross-referenced instantly and large amounts of data can be viewed at a glance. Virtual reality will also help analyze and fine-tune the understanding of the data to make it more efficient.

data visualization

Guide the Subconscious Mind

The human mind is truly incredible, but sometimes it becomes difficult to process vast amounts of information. One of the most exciting things that VR technology can do is to guide the subconscious mind. The immersive features of VR make it possible for it to understand the subconscious mind. And did you know that it is not just the body that gets tired, the brain also experiences fatigue? In such situations, the technology adapts itself to areas that make it easier for the user to understand and comprehend.

To know more about how virtual reality and data visualization are transforming data analysis, request a demo.

Multi-dimensional Data Analysis

Data visualization through virtual reality helps to view data in a multi-dimensional format, which means there is not just the use of hands but ears as well in comprehending data. This enables the viewer to analyze the subject, location, and significance of a particular data source.

Natural Interaction

We use our hands to feel things around us; virtual reality allows doing this through data visualization. Companies can manipulate data streams, push windows around, press buttons, and practically walk around data worlds with the help of VR technology. Consequently, it enables users to make accurate data analysis and facilitates a faster decision-making process.

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