1. Proceedings
  2. I3M
  3. 2018
  4. VARE
  5. 10.46354/i3m.2018.vare.008

Alternatives generation via data analytics for decision making using VR

  • a Fernando Suarez-Warden  
  • b Nora Argelia Aguilera González  
  • c Silvia Gonzalez  
  • d Samira Hosseini  
  • a Escuela de Negocios, Ciencias Sociales y Humanidades. Tecnologico de Monterrey, Campus Monterrey.
    Ave. E. Garza Sada 2501 sur, Monterrey NL 64849. Mexico
  • b Escuela de Arquitectura, Arte y Diseño. Tecnologico de Monterrey, Campus Monterrey. Ave. E. Garza Sada 2501 sur, Monterrey NL 64849. Mexico
  • c Writing Lab, TecLabs, Vicerrectoría de Investigación y Transferencia de Tecnología. Tecnologico de Monterrey. Ave. Eugenio Garza Sada 2501, Monterrey 64849, NL, Mexico
  • d Escuela de Ingeniería y Ciencias. Tecnologico de Monterrey. Ave. Eugenio Garza Sada 2501, Monterrey, N.L., Mexico
Cite as
F. Suarez-Warden, N.A. Aguilera González, S. Gonzalez, S. Hosseini (2018). Alternatives generation via data analytics for decision making using VR. Proceedings of the 4th International Conference of The Virtual And Augmented Reality In Education (VARE 2018), pp. 46-51. DOI: https://doi.org/10.46354/i3m.2018.vare.008

Abstract

Advances in education, economy, and administration in the areas of science and technology as well as social
science disciplines have established a great importance worldwide thus necessity for developing the knowledge-based economies. Due to globalization, the complexity in manufacturing and elaborated processes is continuously increasing. It is, therefore, crucial to develop core business topics related to efficiency and evaluation that incorporate emerging technologies in such areas. Virtual Reality (VR) is known as a computer-generated simulation of three-dimensional (3D) environments that can produce seemingly real images and introduce physical ways of interacting with individuals. VR has become increasingly important in reaching data visualisation for generation of alternative scenarios. Combined with business analytics, VR can offer quantitative models for decision making applied to optimize production and administration procedures. In this study, a case is developed to deploy use of data exploitation and VR for alternatives generation in the decision-making processes.

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