Augmented Virtual Reality in Data Visualization

As a result of data being collected daily at high speeds, it becomes extremely important for organizations to analyze it in real-time to be a decisive factor in successful decision-making. Therefore, real-time decision based on real-time generated data is seen by organizations as a decisive factor for successful decision-making. However, organizations have difficulties making a real-time analysis of this data due to its complexity, quantity, and diversity. Studying the problems inherent in processing these large amounts of data is insufficient. The way this data is visualized and presented to the end-user is crucial. Thus, this paper focuses on exploring Augmented Reality capabilities to optimize the traditional data visualization methods to support real-time decision-making. This technology offers a wide range of data visualization possibilities that can become quite attractive to the human being. A series of results inherent to this paper can be identified, namely analyzing the challenges and limitations of implementing augmented virtual reality systems for data visualization, the development of 1 augmented reality data visualization module in a real-world data science platform, based on a cross-analysis of 4 dashboards, the analysis of its impact relative to a traditional two-dimensional data visualization module through a questionnaire that serves as the first proof of concept.