That sucks, but it's nothing compared to what can happen when you're working in the field of fraud detection, for example supporting an attorney in a court case that involves analyzing large amounts of data like bank transactions, accounting records or emails. Here, you will have to account for every record that you received, guarantee that you didn't alter the original data and be able to explain every single step you took from the raw data you received to the final answer. If there is any step in your data preparation and analysis that you cannot justify, your entire analysis can be torn to shreds and you may lose the case without a second chance. I have been part of a data analyst team that worked with attorneys on cases involving potential fines as big as several billion US dollars. Let's just say that seamless reproducibility is more than a nice-to-have in situations like this. However, working like this is a valuable experience because it teaches you the importance and the methods of reproducible research quite thoroughly.