ijdase

Academic Perspectives of Data Intelligence

Authors
Keywords:
Data Intelligence, Data Quality, Bibliometric Analysis, Machine Learning, Research Trends
Abstract

This study focuses on the academic opinion about data intelligence, understood and described through its main trends, productive authors, the most influential journals, and collaborative networks. Data was collected from two major scientific databases, Web of Science and Scopus, covering all publications from 1994 to 2023, using the Biblioshiny app to manage this analysis and find out the conceptual, intellectual, and social structures related to the research about data intelligence. The results reflect the field has growing interests, with crucial contributions from various countries and institutions. However, issues like data quality, competency gaps, or ethical concerns exist. These findings conclude some ideas for further research that would solve the indicated limitations and maximize the potential of data intelligence.

Author Biographies
  1. Sunday Adewale Olaleye, Jamk University of Applied Sciences

    School of Business and Senior Lecturer

  2. Oluwafemi Samson Balogun, University of Eastern Finland

    School of Computing and Researcher

Cover Image
Downloads
Published
01-10-2025
Section
Articles
License

Copyright (c) 2025 The publication of International Journal of Data Analytics and Smart Education (IJDASE)

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Similar Articles

You may also start an advanced similarity search for this article.