After outlining some important developments in the field, I shall look into several key analysis issues regarding data quality, variable grouping, and model building.
Several real-world applications are described where existing analysis methods have been found inadequate to address those issues. I will then discuss some of our research effort in multivariate time series modelling and outlier analysis with applications in bioinformatics, medical screening and industrial process monitoring and control.