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> We finally got around to doing this recenty, and realised that the data simply isn’t of high enough quality to be useful for much at all. I suspect that they
by nerdponx 4y ago
> We finally got around to doing this recenty, and realised that the data simply isn’t of high enough quality to be useful for much at all.
I suspect that they just didn't have the right people on the team, or those people were busy and haven't gotten around to it.
This is sad, but it's an important cautionary tale for businesses that plan to collect data first, and later hire a data person to turn that data into gold. Many, many businesses in the 2010s probably failed because they thought they could do this.
The truth is that you need data people involved from the beginning, and continuously throughout the project, in order to monitor and evaluate the data being collected, building proof-of-concept models along the way, and to adjust the data collection process as problems are discovered and new techniques are developed.
- wpietri 4y agoOh god yes. The "collect data" was such an "underpants gnomes" business model thing. Just thinking about it gives me flashbacks to industry events where insufferable people droned at me about this. And yes, another vote here for early proofs of concept and rigorous testing. Not everybody gets what really matters in data quality, but the surest way to find out is to try to build something and see if it really works.