Data and Business Analytics
Track moderators
Boris Delibašić, Ph.D.
POSITIONS
Full Professor
University of Belgrade – Faculty of Organizational Sciences
Department of Business Systems Organization
Gordana Savić, Ph.D.
POSITIONS
Full Professor
University of Belgrade – Faculty of Organizational Sciences
Department of Operations Research and Statistics
Description
Data Analytics and Business Analytics aim to develop a holistic approach to managing organizational systems in order to support their survival, development, and growth. This has proved to be particularly important in the post-COVID era, which has brought about significant changes in the business environment. Data analysis, modelling, and optimization support the decision-making process to create business value in the broadest context. In addition, various mathematical and statistical methods, and artificial and computational intelligence techniques aim to assist in forecasting, planning and managing of organizational systems.
We call for papers that address interesting research problems and develop methods and approaches that help organizations apply data and business analytics. Interdisciplinary and mixed methods approaches are also welcome.
Key topics
- Descriptive, Predictive and Prescriptive Analytics
- Data Visualization
- Artificial Intelligence
- Computational Intelligence
- Data Analytics
- Big Data Analytics
- Simulation Methods
- System Modelling
- Statistical Decision
- Cyber Analytics
- Social Media Analytics
- Statistical Process Control
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