Sam Suber writes: “Libraries are swimming in data, but raw numbers rarely lead directly to good decisions. To move from a messy spreadsheet to a defensible strategy, you need a process to refine that raw material. In this post, we will walk through the entire data pipeline, which is the structured process of transforming raw data into decision-ready information. We will be using the example of a new video subscription where the vendor’s reporting server crashed in June, leaving a hole in your data. We are going to take that messy data set and turn it into a solid prediction.”