I run a corporate data science department and I've been fortunate enough to have management's support to run things however I want as long as I'm getting the jo

I run a corporate data science department and I've been fortunate enough to have management's support to run things however I want as long as I'm getting the job done. I built an MVP for a report in R with an intention of replacing it with a production-level language. Boss loved the report exactly as written and I realized the R version was good enough. Choosing a tool can involve striking a tough balance between "good enough" and avoiding creating technical debt, but trusting the people running the project to make the right choice is key.