Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Internet of Things Data Visualization for Business Intelligence.

Sima Attar-Khorasani1, Ricardo Chalmeta1

  • 1Grupo Integración y Re-Ingenieria de sistemas, Departamento de lenguajes y sistemas informáticos, Universitat Jaume I, Castellón, Spain.

Big Data
|February 8, 2022
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same journal

Constructing an Artificial Intelligence-Driven Multilingual Medical Health Education Chatbot with Domain-Specific Medical Knowledge.

Big data·2026
Same journal

Explainable Machine Learning-Based Prediction of Postoperative Hypoxemia in Elderly Patients Undergoing General Anesthesia.

Big data·2026
Same journal

Big Data-Driven Video Anomaly Detection Using VideoMAE for Visual Analytics in CCTV Surveillance.

Big data·2026
Same journal

Agentic Artificial Intelligence-Driven Explainable Deep Learning for Deciphering Noncoding Pathogenic Mechanisms of Delirium Through Genomic Big Data Integration.

Big data·2026
Same journal

Personalized Driven Instruction Through Explainable Agentic AI in Multicultural Higher Education Environments.

Big data·2026
Same journal

Big Data-Driven Explainable Agentic AI Decision Frameworks for Enterprise Innovation in FinTech Ecosystems.

Big data·2026
See all related articles

This study reviews 237 articles on Internet of Things (IoT) data visualization for business intelligence, identifying key research trends and challenges. It proposes four categories to map the field and guide future IoT business intelligence research.

Area of Science:

  • Computer Science
  • Information Systems

Background:

  • The Internet of Things (IoT) generates vast amounts of data.
  • Effective data visualization is crucial for business intelligence (BI) processes.
  • Research in IoT data visualization for BI is a growing academic area.

Purpose of the Study:

  • To systematically review the literature on IoT data visualization for BI.
  • To identify influential contributors, research findings, and challenges in the field.
  • To propose a categorization of research streams and suggest future directions.

Main Methods:

  • Systematic literature review of 237 articles published over 11 years.
  • Comparative analysis of authors, countries, publishers, institutions, and papers.
  • Identification of key research findings and current challenges.
Keywords:
Big DataBusiness IntelligenceIndustry 4.0Internet of Thingsdata visualization

Related Experiment Videos

Main Results:

  • Identified top contributing authors, countries, publishers, and institutions.
  • Highlighted influential papers and significant research findings.
  • Cataloged challenges within the current research landscape.

Conclusions:

  • Proposed four main research categories: Technology infrastructure, Case examples, Final-user experience, and Big Data tools.
  • Mapped the evolution of these research streams over time.
  • Provided insights into future research directions for IoT data visualization in BI.