Aims This journal aims to publish cutting-edge research in big data analytics and data science, emphasizing data-driven methods and intelligent analytics for decision support and innovation. Scope Big data architectures and platforms Data mining and predictive analytics Machine learning for data analytics Data visualization and visual analytics Structured, semi-structured, and unstructured data processing Business intelligence and data-driven decision-making Ethical, privacy, and governance aspects of data science