  When doing data science, it's important to know what you're building. This
paper describes an idealized final product of a data science project, called a
Continuously Updated Data-Analysis System (CUDAS). The CUDAS concept
synthesizes ideas from a range of successful data science projects, such as
Nate Silver's FiveThirtyEight. A CUDAS can be built for any context, such as
the state of the economy, the state of the climate, and so on. To demonstrate,
we build two CUDAS systems. The first provides continuously-updated ratings for
soccer players, based on the newly developed Augmented Adjusted Plus-Minus
statistic. The second creates a large dataset of synthetic ecosystems, which is
used for agent-based modeling of infectious diseases.
