PUBLISHER: ANADOLU UNIVERSITY

Anadolu Business Intelligence and Data Analytics Journal

Publication Model: Periodical Publication ( May - November )

Aim & Scope

The Anadolu Business Intelligence and Data Analytics Journal (ANABIDA) is a peer-reviewed scholarly publication dedicated to advancing the application of modern computational methodologies—including artificial intelligence, machine learning, deep learning, data mining, and data visualization—within the business domain. The journal disseminates rigorous research that encompasses both the theoretical frameworks and practical infrastructures necessary for the accurate compilation, analysis, and predictive modeling of enterprise data. 

By elucidating how AI-driven paradigms and advanced analytical techniques integrate into strategic and tactical decision-making, ANABIDA equips modern enterprises with the empirical insights required for sustainable innovation. Ultimately, the journal bridges the gap between academic inquiry and applied industry practice by presenting data-centric approaches that contribute substantively to both scholarly literature and operational excellence.

The journal covers applied and theoretical topics including, but not limited to:

1.  Artificial Intelligence & Machine Learning

  • Applied Artificial Intelligence in Enterprise Systems
  • Machine Learning: Supervised, Unsupervised, and Reinforcement Learning
  • Deep Learning Architectures & Advanced Neural Networks
  • Natural Language Processing (NLP) & Large Language Models (LLMs)
  • Prompt Engineering & Human-AI Interaction

2. Business Intelligence & Strategic Analytics

  • Strategic AI & AI-Driven Decision Making
  • Business Intelligence and its Ethical Challenges
  • Predictive and Prescriptive Analytics
  • Institutional Data Analytics & Performance Measurement
  • Statistical Data Science 
  • Applied Business Statistics
  • Time Series Analysis & Forecasting

3. Data Science, Engineering & Infrastructure

  • Big Data and Business Analytics
  • Data Engineering and Data Science Innovations
  • Cloud Computing & Scalable Data Architectures
  • Data Quality and Governance
  • Advanced Data Mining & Knowledge Discovery

4. Specialized Applications & Emerging Technologies

  • Healthcare Analytics & Medical Informatics
  • Data Visualization & Creative Computational Design
  • Information Retrieval, Web Search & Social Media Analytics
  • Recommender Systems & Personalization Engines
  • Simulation, Modeling, and Optimization Techniques

Shape the future of data-driven business by sharing your research with ANABIDA’s forward-thinking community.


Period Months
May November
Last Update Time: 27 April 2026