3 ms·
Or it could be that a lot of data is wrong. It may be "technically" correct, ie the table in a database produces X. It is no surprise that executives would igno
by alexslobodnik 6y ago
Or it could be that a lot of data is wrong. It may be "technically" correct, ie the table in a database produces X. It is no surprise that executives would ignore what the "data" says because they don't trust it.
A lot of time they are right to ignore it. I've seen tables say X, but there was some flaw up the capture stack. Very few data analyst have the broad based knowledge and dedication needed to trace the data stack to establish the needed trust with the executive team.
- ghaff 6y agoProbably the biggest part of a lot of projects is cleaning up and normalizing the data (just like it was with data warehousing last century). A lot of high power data scientists don't want to hear that--especially if they're research-y.
- disgruntledphd2 6y agoIf you don't at least tolerate data cleaning, you should find a different job than data scientist. I would have expected the researchy people to be better at it, as often you'll need to collect and analyse your own data during grad programs, and thus have some experience.
- mistasteve 6y agoI kind of like data cleaning, I'm a weirdo like that