Journal of Data Processing and Business Analytics (JoDPBA)
Journal Descriptions
Journal of Data Processing and Business Analytics (JoDPBA) is a double blind peer-reviewed, bi-annual journal, which aims to provide readers with the most recent findings in the field of data processing and business analytics. Each paper accepted for publication in the journal have a significant empirical or theoretical contribution. The journal welcomes research articles in all areas of computer science-related submissions. JoDPBA aims to provide a platform for researchers, practitioners, and professionals to exchange innovative ideas, theories, methodologies, and practical applications in the areas of data processing, data mining, data visualization, statistical modeling, machine learning, and business analytics. The scope of the journal encompasses a wide range of industries and sectors, including but not limited to finance, marketing, healthcare, supply chain management, and e-commerce. The journal seeks to promote interdisciplinary collaboration and foster a deeper understanding of the role of data processing and business analytics in driving evidence-based decision-making, optimizing operations, improving organizational performance, and achieving competitive advantage in the digital era.
Journal of Data Processing and Business Analytics (JoDPBA) is :-
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International, Peer-Reviewed, Open Access, Refereed, Business Analytics, Data Processing , Online , Monthly Journal
- UGC Approved, ISSN Approved: P-ISSN E-ISSN: TTRAwaited, Established: 2024,
- Provides Crossref DOI
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Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE