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Virtual and Augmented Reality Technology Application to Data Analysis

Student: Vorobeva Mariia

Supervisor: Petr Panfilov

Faculty: Graduate School of Business

Educational Programme: Big Data Systems (Master)

Year of Graduation: 2017

Increasingly, corporations and governmental institutions have gained enhanced insights by applying analytics technology to their data collections. Analytics capabilities such as live-stream processing, visual analytics and text mining have enabled the management boards to act on a constantly updated knowledge of evolving situations. Organizations and companies can churn through millions of events per second and display insights and trends gained from that data in an accessible and visual format. The government is already applying these analytics to prevent benefits and medical fraud, evaluate workforce trends, organize defense supply chains and comb social media for terrorist threats. But VR and AR could lead to even more immediate and immersive insights into unfolding situations. By using VR and AR hardware and software to look at the information produced by visual analytics programs, the users could instantly map data into a representation inside of a virtual environment. The objective is to study how the combination of analytics and AR/VR can allow data analysts to tackle new and existing challenges in a more informed and efficient manner, ultimately saving money, time and other resources.

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