editorinchief@ijsreat.com +91 9840521421 Scholarly Open Access, Peer-reviewed, Refereed Journal e-ISSN 2583-1240 Since 2021
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Business Intelligence Research Journal | IJSREAT Technology Research

Categorytag Published13 Oct 2026
Business Intelligence Research Journal | IJSREAT Technology Research

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 advancing research across Science, Engineering, and Technology. Researchers looking for a business intelligence research journal can explore an interdisciplinary platform for studies involving data analytics, artificial intelligence, machine learning, information systems, business intelligence, and emerging digital technologies.

Business intelligence research focuses on transforming data into meaningful insights that support analysis, forecasting, optimization, and technology-enabled decision-making. IJSREAT promotes original research contributions, technological innovations, and fundamental advancements while encouraging research that connects academic knowledge with practical applications across engineering, technology, and industry.

๐Ÿ“Š Business Intelligence Research Journal for Data-Driven Innovation

A business intelligence research journal provides a scholarly environment for research on data-driven decision-making, predictive analytics, enterprise information systems, machine learning, data visualization, business analytics, artificial intelligence, and digital transformation.

IJSREAT was established by academicians, educationists, engineers, and industry professionals to provide a reputable platform for publishing innovative ideas and research findings. Its multidisciplinary orientation supports research connecting business intelligence with Computer Science, Information Technology, artificial intelligence, data science, communication technologies, automation, and other emerging technology domains.

๐Ÿ’ก Scope of Business Intelligence and Technology Research

IJSREAT welcomes high-quality original research papers, review articles, and technical notes contributing to Science, Engineering, and Technology. Relevant interdisciplinary areas for business intelligence research include:

  • ๐Ÿ”ต Computer Science and Information Technology
  • ๐ŸŸฃ Artificial Intelligence, Machine Learning, and Data Science
  • ๐ŸŸข Business Intelligence and Business Analytics
  • ๐ŸŸ  Predictive Analytics and Data-Driven Decision Support
  • ๐Ÿ”ด Enterprise Information Systems and Digital Transformation
  • ๐ŸŸก Data Visualization and Knowledge Discovery
  • ๐Ÿ”ต Internet of Things, Automation, and Smart Technologies
  • ๐ŸŸฃ Robotics and Intelligent Automation
  • ๐ŸŸข Renewable Energy Systems and Sustainable Technologies
  • ๐ŸŸ  Applied Physics, Chemistry, Mathematics, and Interdisciplinary Research

The journal encourages interdisciplinary submissions that bridge theory and practice. Business intelligence studies can integrate computational methods, statistical analysis, machine learning, data engineering, software technologies, and technology-driven business applications.

๐Ÿš€ Why Consider IJSREAT for Business Intelligence Research?

โšก Rapid Peer Review

IJSREAT states that its strict peer review process delivers decisions within 3 days. This stated workflow can support researchers seeking rapid publication of business intelligence, data analytics, computer science, engineering, and interdisciplinary research.

๐ŸŒ Open Access Policy

Immediate open access makes published research freely available online, supporting the dissemination of business intelligence research among researchers, academicians, technology professionals, industry practitioners, and other readers.

๐Ÿ’ฐ Low Cost Publication

Authors searching for a low cost business intelligence research journal can review the stated IJSREAT article processing charges. The applicable fee varies according to author location and DOI selection and is payable after manuscript acceptance.

๐Ÿ›ก๏ธ Plagiarism Protection

Rigorous screening supports academic integrity throughout the publication process. Business intelligence manuscripts should present original contributions, appropriate citations, transparent methodology, reliable datasets or evidence, and clearly documented findings.

โš–๏ธ COPE Compliance

IJSREAT states that it follows COPE Best Practice Guidelines. Responsible authorship, originality, research integrity, and transparent scholarly communication are important considerations for business intelligence and technology research.

๐ŸŒ Impact Beyond Academia

Business intelligence research can contribute to predictive decision-making, operational analytics, enterprise performance analysis, customer intelligence, digital transformation, business process optimization, resource planning, and technology-enabled innovation.

๐Ÿ”Ž Google Scholar and Business Intelligence Research

Researchers evaluating a business intelligence research journal may consider peer review, open access, publication cost, DOI availability, publication workflow, and research discoverability. IJSREAT lists Google Scholar among its indexing and abstracting services. Authors should independently verify current indexing coverage and status when evaluating a publication venue.

Business intelligence research involving computer science with analytics and enterprise systems can investigate artificial intelligence, machine learning, natural language processing, predictive modeling, data mining, cloud computing, big data, cybersecurity, knowledge graphs, recommender systems, and intelligent decision-support systems.

๐Ÿ“š Indexing and Abstracting Services

IJSREAT lists the following indexing and abstracting services and platforms:

๐Ÿ”ต Google Scholar
๐ŸŸฃ Scribd
๐ŸŸข ISSUU
๐ŸŸ  Elsevier Mendeley
๐Ÿ”ด EuroPub
๐ŸŸก DRJI
๐Ÿ”ต Academic Keys
๐ŸŸฃ Edocr
๐ŸŸข I2OR
๐ŸŸ  PDFSR
๐Ÿ”ด ResearchBIB
๐ŸŸก SSRN
๐Ÿ”ต WorldCAT
๐ŸŸฃ Exlibris
๐ŸŸข Thomson Reuters - Research ID
๐ŸŸ  Semantic Scholar
๐Ÿ”ด Dimensions
๐ŸŸก PlumX

โฑ๏ธ Fast Publication and Rapid Publication Process

IJSREAT provides a stated streamlined and author-friendly workflow for researchers submitting business intelligence and technology research. The publication process includes:

  1. ๐Ÿ“ Submit Online: 24/7 manuscript submission through the editorial management system.
  2. ๐Ÿ“ฉ Initial Response: Acknowledgment within 12 hours.
  3. ๐Ÿ” Expert Review: Peer review within 2 days.
  4. ๐Ÿ“ข Decision Notification: Acceptance or rejection within 3 days.
  5. ๐Ÿ“„ Publication & Certificate: Instant PDF access and digital certificate.

๐Ÿ’ต Low Cost Business Intelligence 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 โ‚น1200 + 18% GST
Indian Authors With DOI โ‚น1400 + 18% GST
Other than Indian Authors With DOI $80 USD

๐Ÿ’ป Computer Science with Business Intelligence Research

Computer science with business intelligence research creates opportunities for interdisciplinary studies involving artificial intelligence, machine learning, data analytics, software engineering, natural language processing, cloud computing, big data, cybersecurity, data visualization, and enterprise information systems.

A business intelligence research journal manuscript may examine predictive business analytics, intelligent dashboards, machine learning models, data mining, enterprise analytics, recommendation systems, knowledge discovery, automated decision support, and data-driven optimization.

๐Ÿค– Business Intelligence, AI, Analytics and Digital Transformation

Modern business intelligence research increasingly intersects with artificial intelligence, machine learning, data science, predictive analytics, natural language processing, cloud computing, automation, and digital transformation. Studies may investigate intelligent dashboards, predictive forecasting, customer analytics, anomaly detection, business process optimization, automated reporting, and AI-assisted decision-making.

Strong business intelligence research should define a clear research problem and contribution while presenting an appropriate methodology, dataset or experimental configuration, evaluation criteria, findings, limitations, and practical implications. Where relevant, studies can also address data quality, privacy, cybersecurity, explainability, scalability, interoperability, usability, and responsible AI adoption.

๐Ÿ–ฅ๏ธ Advanced Editorial Management System

IJSREAT provides an editorial management system designed to support authors throughout manuscript submission, peer review, and publication.

  • ๐Ÿ”ต Author Dashboard: Personalized account with submission history and status updates.
  • ๐ŸŸฃ Real-time Tracking: Monitor your manuscript through every stage.
  • ๐ŸŸข Automated Documents: Instant generation of acceptance letters and copyright forms.
  • ๐ŸŸ  Easy Downloads: One-click access to certificates and published papers.

๐Ÿ“Œ UGC CARE, Google Scholar and Business Intelligence Research

Researchers searching for a business intelligence research journal may encounter terms such as UGC CARE, Google Scholar, peer-reviewed journal, low cost publication, fast publication, and DOI 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.

๐Ÿ“ง Contact IJSREAT for Business Intelligence Research

Researchers preparing a business intelligence research journal manuscript can contact the IJSREAT editorial office for submission-related queries, manuscript guidance, and publication information.

๐Ÿ“ฉ Email: editorinchief@ijsreat.com

โœจ Ready to Publish Your Business Intelligence Research?

Prepare your original business intelligence research with a clearly defined objective, suitable 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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APC from โ‚น1200 + 18% GST

Peer-reviewed open accessโ‚น1200 Indian (โ‚น1400 with DOI)$80 USD internationalpaid after acceptance Peer-reviewed open accessโ‚น1200 Indian$80 USD international โ‚น1200 Indian ยท $80 intl

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  • ISSN 2583-1240
  • Open Access
  • Peer Reviewed
  • Plagiarism Checked
  • Google Scholar
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