Augmented / Virtual Reality and Big Data

Augmented reality (AR) helps to visualize and analyse the growing torrent of data in an interactive canvas. Visualization is crucial to understanding data. Pie charts and bar graphs are used to visualize these data into a readable form.

The broader the canvas of visualization , the better the understanding. That is exactly what happens when one visualizes big data through  AR and VR. They can practically improve the way the data is being perceived and could actually be the solution to make use of the large unused data.  According to Forrester, between 60% and 73% of all data within an enterprise goes unused for analytics.

By presenting the data in the form of 3D, the user will be able to decipher  major takeaways from the data better and faster with easier understanding and be able to pick a proper, coherent interpretation out of it. Many recent researches have been carried out which shows the VR and AR has a high sensory impact which promotes faster learning and understanding. Instead of the user seeing numbers and figures, the person will be able to see beyond it and into the facts, happenings and reasons which could revolutionize the businesses.

 We are living in an age of big data. In this era of ever-increasing information, we’re collecting data at an astonishing rate, but not necessarily understanding it. At present, big data is an unwieldy beast — one that is often unorganized and uncommonly complicated to digest. VR provides users with the ability to immerse themselves in data in a more natural and intuitive way. VR has given the ability to process data dynamically. With VR, one can reach out and touch data. Big data will become a tactile experience. VR is increasing the amount of information we can ingest, and bettering our understanding of it, too.

Augmented reality applications thrive on data, and it is the data that feeds AR applications with information about surroundings and other geospatial, environmental information. Pokémon Go is the best example of how AR feeds on location-based information to offer a highly interactive and immersive gaming experience. This is possible because of the quick availability of data. By overlaying an extra layer of AR to the data that is being streamed, it is possible for stakeholders to get insights at a glance without having to turn into research scholars to make sense out of the data.

Every data is trying to indicate something. When you can actually see the data swimming before your own eyes, it becomes simpler to understand what it says. You can stack the data, move it around in front of your eyes, arrange it as you like and do whatever you want to, like a physical set of beads. The visualization of big data using VR and AR can cut down the time one spends on data analysis drastically, and you can get better insights from the data comparatively. The future of big data visualization with AR and VR is the only way to avoid waste of mass amount of data generated and gathered and gain a better understanding of them.