Peter Morville and Jeffery Callender
Data science projects can (very roughly) be divided into two types. The first is a study, aimed at providing quantitative insights to other business units. These typically involve building reports, calculating p-values, and answering product managers’ questions. Fifteen years ago the people doing this were called “statisticians” or “data analysts.” The second type of project feeds directly into customer-facing products. Examples include recommender systems, tagging/classification systems, and search engines.