hendrik_tilores

is this called FoMo?

for me the numbers look different. The 61 cases were only the manual verified so the problem is much bigger. Also I see it as a big problem that the states only look at their own data but not across states. I think the data shows that there is a problem with messy data but it does not show that is pro democrats or republicans.

are there other countries with the same problem?

Can you add data to your solution in realtime and is it possible to delete records? How and where are you hosting your solution (on premise, cloud, ....) is it highly available and does it automatically scale?

Did you try zentity (for elastic) or zingg.ai?

I think the point there is that you want to have clean data. Sure for you numbers it would look better if these are bigger - like for twitter and the bots... However you also need to see the other side - the operational one. If we have the same customer 5 times in your data, you will also target that customer 5 times with the same marketing initiative, you will have 5 times the costs etc.

Coming to compliance it even gets worse. If you have to answer a GDPR DSAR and you have 5 different records for one person, but only show one, then you can get into serious trouble with the authorities and also pay high fines.

So I think less high quality data is worth more than a lot of trash data.

great product. I would have needed that a few years ago. That always was a big hassle.

I like the article but it lacks some very important topics on the benefits side. When using SaaS, you normally do not need an administrator/devops and you do not need to reinvent the wheel.

Imagine you would need to run applications like linkedin, hubspot, calendly, google workspace etc. on premise like it was in the past.