Transforming the Metaverse into Data: Evaluating Consumer Behavior with ETL
Maria Enache
Economics and Applied Informatics, 2025, issue 2, 89-94
Abstract:
The metaverse has transformed the way we interact with digital environments, and the analysis of user behavior in these 3D environments is becoming increasingly important for business, education, and other fields. While the metaverse offers sensational opportunities for immersion and interaction, understanding consumer behavior and evaluating the effectiveness of virtual experiences require sophisticated data analysis tools. Here, ETL (Extract, Transform, Load) plays an essential role.
Keywords: metaverse; artificial intelligence (search for similar items in EconPapers)
Date: 2025
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://eia.feaa.ugal.ro/images/eia/2025_2/Enache.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ddj:fseeai:y:2025:i:2:p:89-94
DOI: 10.35219/eai15840409514
Access Statistics for this article
More articles in Economics and Applied Informatics from "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration Contact information at EDIRC.
Bibliographic data for series maintained by Gianina Mihai ().