Data-mining techniques have gained increasing attention over the past decade, as the amount and type of available data grow dramatically. I will discuss diffusion maps, a nonlinear dimensionality-reduction technique, and their application to data from chemical and biological systems. These data-driven methods will allow us to gain insights into complex dynamical processes.