The International Journal of Scientific Research in Engineering & Technology (IJSREAT) (e-ISSN: 2583-1240) is a bi-monthly, international, peer-reviewed, open-access, and multidisciplinary online journal dedicated to research across Science, Engineering, and Technology. Researchers seeking a business analytics journal can consider this interdisciplinary platform for studies connecting data, computing, artificial intelligence, and technology-driven business applications.
Business analytics research focuses on using data, statistical methods, computational techniques, artificial intelligence, and machine learning to support evidence-based analysis and decision-making. IJSREAT provides a scholarly platform for original research contributions, technological innovations, and fundamental advancements that connect academic research with practical applications.
๐ Business Analytics Journal for Data-Driven Research
A business analytics journal provides opportunities for researchers to investigate data-driven business models, predictive analytics, intelligent decision systems, customer analytics, process optimization, digital platforms, and emerging computational methods. Research can combine business problems with computer science, artificial intelligence, machine learning, data science, and information technology.
IJSREAT was established by academicians, educationists, engineers, and industry professionals to promote innovative ideas and research findings. Its multidisciplinary orientation encourages research that bridges the gap between theory and practical technological applications.
๐ฌ Scope of Business Analytics Research
IJSREAT welcomes high-quality original research papers, review articles, and technical notes contributing to Science, Engineering, and Technology. Areas relevant to interdisciplinary business analytics research include:
- ๐ต Computer Science and Information Technology
- ๐ฃ Artificial Intelligence, Machine Learning, and Data Science
- ๐ข Robotics, Automation, and Internet of Things (IoT)
- ๐ Electrical, Electronics, and Communication Engineering
- ๐ด Mechanical and Civil Engineering
- ๐ก Chemical and Environmental Engineering
- ๐ต Biomedical and Biotechnology Engineering
- ๐ฃ Renewable Energy Systems and Sustainable Technologies
- ๐ข Materials Science and Nanotechnology
- ๐ Applied Physics, Chemistry, and Mathematics
Researchers can develop interdisciplinary business analytics studies by connecting these technology areas with data-driven business applications, intelligent systems, automation, digital services, predictive models, and analytical decision support.
๐ Why Consider IJSREAT for Business Analytics Research?
โก Rapid Peer Review
IJSREAT states that its strict peer review process delivers decisions within 3 days. This stated workflow can be relevant for researchers looking for rapid publication of business analytics research.
๐ Open Access Policy
The journal follows an open-access publication model, allowing published research to be freely available online. Open access can support broader accessibility for researchers, technology professionals, academics, and industry readers.
๐ฐ Low Cost Publication
Researchers searching for a low cost business analytics journal can review the stated IJSREAT article processing charges. Publication fees are applicable after manuscript acceptance and vary according to author location and DOI selection.
๐ก๏ธ Plagiarism Protection
Rigorous plagiarism screening supports academic integrity during the publication process. Authors should ensure that business analytics manuscripts contain original analysis, appropriate citations, transparent methodology, and properly attributed data and sources.
โ๏ธ COPE Compliance
IJSREAT states that it follows COPE Best Practice Guidelines. Ethical authorship, originality, responsible research practices, and transparent scholarly communication are important considerations for business analytics publications.
๐ Research Impact Beyond Academia
Business analytics research can support data-driven decision-making, predictive modeling, process optimization, intelligent automation, customer analysis, digital services, and technology-enabled organizational improvements.
๐ Google Scholar and Business Analytics Research
Researchers evaluating a business analytics journal often consider research visibility and accessibility. IJSREAT lists Google Scholar among its indexing and abstracting services. Authors should independently verify current indexing coverage and status when evaluating publication venues.
Research involving computer science with business analytics can explore artificial intelligence, machine learning, data mining, predictive analytics, big data processing, cloud computing, cybersecurity, software engineering, and intelligent information systems.
๐ Indexing and Abstracting Services
IJSREAT lists the following indexing and abstracting services and platforms:
โฑ๏ธ Fast Publication and Rapid Publication Process
IJSREAT provides a stated streamlined and author-friendly workflow for researchers submitting business analytics research. The publication process includes:
- ๐ Submit Online: 24/7 manuscript submission through the editorial management system.
- ๐ฉ Initial Response: Acknowledgment within 12 hours.
- ๐ Expert Review: Peer review within 2 days.
- ๐ข Decision Notification: Acceptance or rejection within 3 days.
- ๐ Publication & Certificate: Instant PDF access and digital certificate.
๐ต Low Cost Business Analytics Journal Publication
IJSREAT provides open-access publication with a stated article processing fee after manuscript acceptance. The supplied charges for case reports, original articles, and review articles are:
| Author Category | Publication Option | Fee |
|---|---|---|
| Indian Authors | Without DOI | โน1200 + 18% GST |
| Indian Authors | With DOI | โน1400 + 18% GST |
| Other than Indian Authors | With DOI | $80 USD |
๐ป Computer Science with Business Analytics Research
Computer science with business analytics creates opportunities for interdisciplinary research involving artificial intelligence, machine learning, data mining, predictive analytics, cloud computing, software engineering, cybersecurity, and intelligent information systems. A business analytics journal article can investigate how computational techniques transform data into useful analytical insights.
Authors can strengthen business analytics manuscripts by clearly presenting the research problem, analytical framework, methodology, datasets, experimental design, evaluation metrics, findings, limitations, and practical implications.
๐ค Business Analytics, AI, Data Science and Digital Transformation
Modern business analytics increasingly integrates artificial intelligence, machine learning, data science, automation, big data, cloud computing, and digital transformation. Research may examine predictive models, customer analytics, intelligent decision support, automated business processes, operational analytics, and data-driven digital services.
A strong analytics study should clearly explain its contribution to existing knowledge, provide reproducible methodology where appropriate, report meaningful results, and discuss both research significance and practical applications.
๐ฅ๏ธ Advanced Editorial Management System
IJSREAT provides an editorial management system designed to support authors throughout manuscript submission, peer review, and publication.
- ๐ต Author Dashboard: Personalized submission history and manuscript status updates.
- ๐ฃ Real-time Tracking: Monitor your paper through every publication stage.
- ๐ข Automated Documents: Instant generation of acceptance letters and copyright forms.
- ๐ Easy Downloads: One-click access to certificates and published papers.
๐ UGC CARE, Google Scholar and Business Analytics Publication
Researchers searching for a business analytics journal may also use terms such as UGC CARE, Google Scholar, peer reviewed journal, low cost publication, and fast publication when evaluating potential venues. UGC CARE status or recognition should always be independently verified against current official information before relying on such a designation.
IJSREAT lists Google Scholar among its indexing and abstracting services and provides a peer-reviewed, open-access publication model focused on Science, Engineering, and Technology.
๐ง Contact IJSREAT for Business Analytics Publication
Researchers preparing a business analytics journal manuscript can contact the IJSREAT editorial office for submission-related queries, manuscript guidance, and publication information.
๐ฉ Email: editorinchief@ijsreat.com
โจ Ready to Publish Your Business Analytics Research?
Prepare your original business analytics research with a clearly defined objective, appropriate analytical methodology, reliable evidence, relevant references, and practical implications. If your study aligns with IJSREAT's Science, Engineering, and Technology scope, submit your manuscript through the online editorial management system.
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