Algorithms and models get the attention, but real-world data science depends on three less flashy things: how you store and handle data, how you respect the people behind it, and how you work with the humans who will actually use your results. This chapter walks through each of those legs—from database warehouses that remember everything, to the ethics of privacy, to building a workplace culture that actually listens to numbers.