As scientists, we are eager to discuss data -- why we got it, what it shows and where we do because of it. However, as a field we've lagged behind in discussing the nitty gritty around the "how". How did you upload, store and process the data? How did you decide to include a bar graph over a table? How did you make sure that your analysis was correct? Many professional groups, such as operational engineers and designers, are faced with similar problems and have created their own paradigms for tackling these less publish-able, but still critically important, aspects of our profession. In this talk, I will share what I have observed working in the technology sector, with the hope that cross-pollination will lead to more robust practices for everyone.