The International Journal of Applied Data Analytics (IJADA, ISSN: 3054-517X) is a peer-reviewed, interdisciplinary journal dedicated to the theory, methodology, and real-world application of data analytics and intelligent systems. It serves as a strategic platform for research that aligns with modern trends in artificial intelligence (AI) and data-driven decision-making. By emphasizing an "applied" focus, the journal bridges the gap between academic research and operational relevance in industry.

Aim & Scope

The journal aims to publish high-quality original research, review articles, and applied case studies that advance decision-making through analytical, computational, and managerial perspectives. IJADA particularly encourages empirical and industry-relevant research that demonstrates how data science and analytical techniques can improve organizational performance and strategic operations.

Example topics include:

• Data Science and Big Data Analytics

• Artificial Intelligence and Machine Learning Applications

• Business Analytics and Intelligence

• Health Informatics and Healthcare Analytics

• Predictive and Prescriptive Analytics

• Decision Support Systems 

• Operations, Supply Chain, and Project Management Analytics

• Management Information Systems

• Digital Transformation and Industry 4.0 Analytics

• Analytics for Public Policy and Societal Impact

All articles in IJADA are

• rigorously, timely and construcively peer-reviewed

• freely available Open Access (CC BY 4.0 license)

• indexed in Crossref

• archived in the National Library of Germany

• assigned with a DOI

Indexing

The journal is indexed in established international databases and catalogues, including Crossref. It is further registered in the ISSN Portal and listed by the German National Library. Each published article receives a DOI.