Why you care: For a company to move to the later phases of experimentation maturity (“Run” or “Fly”), incorporating data analysis pipelines as part of the experimentation platform can ensure that the methodology is solid, consistent, and scientifically founded, and that the implementation is trustworthy. It also helps save teams from needing to do time-consuming ad hoc analysis. If moving in this direction, understanding the common infrastructure steps for data processing, computation, and visualization can be useful.