In many organizations, data governance or privacy functions and data analytics functions struggle to have productive, nuanced discussions around the use of data. The crux of the issue is that they don’t have quantitative ways to discuss use cases, datasets or privacy risk, so the fear of setting an undesirable precedent limits the level of discussion that occurs. With a practical example, this talk illustrates how privacy-enhancing technologies (PETs) can foster more productive, collaborative conversations across disparate functions so that processes can be streamlined while ensuring all objectives are achieved.