Cloud computing and big data offer new opportunities for business intelligence (BI) and analytics. However, traditional techniques, models, and methods must be redefined to provide decision makers with service of data analysis through the cloud and from big data. This situation creates opportunities for research and more specifically for design-science research. In this paper, we propose a typology of artifacts potentially produced by researchers in design science. Then, we analyze the state of the art through this typology. Finally, we use the typology to sketch opportunities of new research to improve BI and analytics capabilities in the cloud and from big data.