About the Journal

ISCSITR - International Journal of Business Intelligence (ISCSITR-IJBI) is an esteemed, open-access, peer-reviewed academic journal published by the International Society for Computer Science and Information Technology Research (ISCSITR). Dedicated to advancing the field of business intelligence, ISCSITR-IJBI serves as a critical platform for academics, researchers, and industry practitioners who are keen on exploring cutting-edge developments and applications within business intelligence and data analytics.

Aim

The primary aim of ISCSITR-IJBI is to foster a deeper understanding of how data-driven decision-making impacts and enhances business practices globally. By facilitating the dissemination of high-quality research, the journal seeks to bridge the gap between theory and practice in business intelligence. It supports the development of new insights into how businesses can utilize data to inform strategy, improve efficiency, and innovate. ISCSITR-IJBI is committed to promoting rigorous, impactful research that provides actionable insights into the application of data science, machine learning, and analytics within a business context.

Scope

The scope of ISCSITR-IJBI encompasses a broad range of topics within business intelligence, data analytics, and related fields, making it highly interdisciplinary. Key areas of interest include, but are not limited to:

  • Business Intelligence Systems: Research on the design, implementation, and impact of BI systems, including case studies of BI applications across various industries.
  • Data Mining and Big Data Analytics: Studies focusing on methodologies and applications of data mining, including the management and analysis of big data to derive business insights.
  • Decision Support Systems: Articles on advanced decision-making models, particularly those that leverage data to enhance organizational decision processes.
  • Machine Learning and Artificial Intelligence: Investigations into the integration of machine learning and AI within BI systems, exploring applications in predictive analytics, customer relationship management, and operational optimization.
  • Data-Driven Innovation: Research highlighting how businesses can utilize data to drive innovation, optimize processes, and achieve competitive advantages.
  • Performance Metrics and Analytics: Articles exploring metrics and models for measuring business performance, using data analytics to provide a holistic view of organizational success.

Contribution and Relevance

ISCSITR-IJBI plays an influential role in shaping current and future business intelligence practices. As an open-access journal, it ensures that published research is accessible to a global audience, encouraging widespread engagement and knowledge sharing. By maintaining a rigorous peer-review process, ISCSITR-IJBI upholds high academic standards, contributing to both theoretical advances and practical implementations in business intelligence.

Readership

The journal attracts a diverse readership, including academics, data scientists, business analysts, and professionals involved in data-driven decision-making. It is particularly valuable to those looking to understand the intersection of computer science and business strategy, providing insights that inform both scholarly inquiry and real-world application.