Thanks for the response. Don't get me wrong, I'm not saying we don't need Data Scientists, and I totally agree that the Data Scientists should do the investigations you described in those circumstances.
I was just a bit reserved about having to put things on hold until the investigation is complete, as the timeliness of some of these information could be crucial for the business. My thinking is along the line of using intelligent tools to help highlighting these anomalies and warn the users to take those data with a pitch of salt (or even allow them to do they own analysis). This way users have the data, but are also warned about the possible flaws. The data scientist could then tell them the result after finishing his investigation.
I think we are more or less on the same page.