The journal publishes original research articles, reviews, case studies, and expert commentaries in the field of data-driven business decision-making. Key focus areas include business intelligence, predictive analytics, machine learning applications in business, big data strategy, data visualization, algorithmic decision-making, and data governance. Emphasis is placed on interdisciplinary studies, methodological innovations, and practical insights that link data analytics with real-world business performance and strategic outcomes.

 

 

Dedicated to academic rigor and ethical publishing practices, the Journal of Business and Data Analytics follows a single-blinded peer-review process and aligns with the ethical guidelines set by COPE (Committee on Publication Ethics). The journal values transparency, reproducibility, and innovation, and provides open-access content to promote inclusive and global dissemination of research findings.

 

ISSN: 

3068-3661