Watch this presentation on page 134 by Caitlin Smallwood, VP of data science and analytics at Netflix (title: How Netflix Data Science Powers Global Entertainment), especially beginning at around the 11 min mark. What are the stages where Netflix uses data for decision-making? At which stages in the process is data-driven decision-making faster and more accurate, and why? What sources of data are mined? How does Netflix convince skeptical managers that the "black box" of machine learning can be helpful? What additional data insights have managers gained from using Netflix tools