ABSTRACT
This chapter focuses on data science best practices: (1) aligning data science efforts with business needs; (2) data science hierarchy of needs; and (3) simplicity, reproducibility, and shareability. To create a data-driven organization, one needs curious people working towards pragmatic goals. Management frameworks are useless without a change in organization culture. It is very important to ask questions. “Five whys” can be a useful technique. You do not have to build a perfect data infrastructure before you can do any data analysis.
