Most people who work on data science, AI, and digital transformation are painfully aware that it is often culture, not technology, that stymies their efforts. Many even know the high-level steps they’re supposed to take to fix this problem — invest attention and money into changing people’s mindsets and how the company uses data. But once companies and leaders get into the nitty-gritty details of how to do this, it can be hard to know what implementing those steps actually looks like.