Analysis uncovers key trends in data intelligence through bibliographic tools, highlighting data quality and ethics issues.
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.
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Balogun et al. (2025) studied this question.
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