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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
Summary
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.
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.
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