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Journal Photo for ISCSITR-International Journal of Business Intelligence
Peer reviewed only Open Access

ISCSITR-International Journal of Business Intelligence (ISCSITR-IJBI)

Publisher : International Society for Computer Science and Information Technology Research (ISCSITR)
Business Intelligence Data Mining Big Data Analytics
e-ISSN 5287-9341
Issue Frequency Yearly
Est. Year 2020
Mobile 1234567809
DOI YES
Language English
APC YES
Impact Factor Assignee Google Scholar
Email iscsitr@gmail.com

Journal Descriptions

ISCSITR International Journal of Business Intelligence (ISCSITR-IJBI) is a premier open-access, peer-reviewed journal provided by the International Society for Computer Science and Information Technology Research (ISCSITR). It is dedicated to the dissemination of research and innovations in the field of business intelligence (BI). This journal covers a wide array of topics related to business intelligence, including data mining, data analytics, predictive analytics, data visualization, decision support systems, and BI technologies. It also explores the strategic use of BI tools in corporate decision-making and management, as well as the integration of BI with other business management systems like Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM). ISCSITR-IJBI aims to serve as a comprehensive resource for academics, industry professionals, and consultants by providing insights into how business intelligence can enhance organizational performance, operational efficiency, and strategic planning. The journal publishes high-quality research articles, case studies, and review papers that provide new methodologies, concepts, and practical applications that advance the understanding and practice of business intelligence. By adhering to an open-access policy, the ISCSITR-IJBI ensures that all content is freely available to a global audience, facilitating wider dissemination, interaction, and collaboration among researchers and professionals in the field of business intelligence. This makes it an essential resource for anyone seeking to leverage data-driven strategies to drive business success.

ISCSITR-International Journal of Business Intelligence (ISCSITR-IJBI) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Business Intelligence, Data Mining, Big Data Analytics, Decision Support Systems, Machine Learning, Artificial Intelligence, Data-Driven Innovation, Performance Metrics and Analytics, data scientists , Online , Yearly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 5287-9341, Established: 2020,
  • Provides Crossref DOI
  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing

Publications of ISCSITR-IJBI

Mohamed Al-Farsi July, 2021
In an era of increasing digitalization, healthcare organizations are compelled to adopt Business Intelligence (BI) tools that support data-driven decision-making to enhance patient outcomes,...
Juan Pablo May, 2022
Business Intelligence (BI) systems are increasingly under pressure to adapt to rapidly evolving markets. Traditional descriptive analytics are no longer sufficient; instead, organizations ar...
Eva Nowak March, 2023
This study explores the strategic impact of Business Intelligence Systems (BIS) in bolstering dynamic capabilities and fostering competitive advantage within data-driven enterprises. As data...
Anna Svensson July, 2023
In the era of high-velocity, high-volume data streams, real-time analytics plays a crucial role in enabling timely and accurate decision-making. This paper examines the influence of scalable...
Alurusowmya July, 2024
The integration of Business Intelligence (BI) systems with the Internet of Things (IoT) represents a transformative opportunity for businesses seeking a competitive advantage through advance...
Claire Dubois March, 2025
In the rapidly evolving landscape of the manufacturing industry, Business Intelligence (BI) systems have emerged as crucial tools for decision-making, resource optimization, and strategic co...
SB Vinay November, 2023
As artificial intelligence (AI) becomes increasingly integrated into enterprise Customer Relationship Management (CRM) systems like Salesforce, the need for robust logging and monitoring mec...