We practice continuous improvement, which means we rely heavily on data to quantify and resolve problems, both operational and commercial.
We research a problem using both qualitative data (speaking with frontline team members about their experience with that problem and any ideas they have to resolve it) and quantitative data (time spent manually resolving the recurring problem).
We can then test different solutions to the problem, measure the impact of each solution, and implement the best solution at scale elsewhere in the company.
If we didn't conduct our day-to-day work in a measurable way, we would not be able to "test" solutions and would be more averse to change. We don't know future outcomes for certain, but data and small-scale testing can help us make an informed prediction.