In today’s business world, we encounter data in every aspect of its functioning, and the information within this data can be used to improve business and society. This presents a substantial opportunity for statisticians. Making sense of data in high-dimensional problems, conducting inference and extracting meaningful information from it is a difficult task. The rapid growth of such datasets in a host of disciplines has created the need for innovative statistical strategies for analysis and visualization. Recognizing the potential for impact, there has been a tremendous increase in interest in the use of high-dimensional data towards business and financial applications. Financial time series analysis and prediction problems present many challenges for the development of statistical methodology and computational strategies for streaming data. This session will showcase recent developments in this area from Canadian researchers.