This document discusses implementing data science into organizations. It notes that data scientists are not business analysts and are motivated to solve problems by researching data. Managing data scientists can be tricky as their solutions cross verticals and they do not like being moved between projects. Implementing data science into an organization is also tricky, as proactivity is harder than the status quo, data science is hard, and shining light on new areas can cause issues. The value is in implementing initial models and using data to generate better quality data.