I like this. I like anything about data management.
Quality, to me, means fit for use. In that way, there is no such thing as bad data, as all data can be useful for understanding something.
But not all data is fit for use, for some piece of automation. It takes data enrichment to get to that point. Think data refinery.
I work on language data, and networks, primarily. There is no bad language data. It can all be useful, depending on your level of skill and creativity.
It’s been my entire adult life. Glad to help.
Sounds like only 2 decades at the most though. LOL!
I like this. I like anything about data management.
Quality, to me, means fit for use. In that way, there is no such thing as bad data, as all data can be useful for understanding something.
But not all data is fit for use, for some piece of automation. It takes data enrichment to get to that point. Think data refinery.
I work on language data, and networks, primarily. There is no bad language data. It can all be useful, depending on your level of skill and creativity.
That's a very interesting take on data management. Thanks for sharing! :)
I’m not sure what you are trying to say.
Twenty years of modern data management and experience is enough to know what you are talking about.
I'm just saying we are all young. Only 2 decades of adult life past us. :)
Yeah, I think we both look really young. lol
But my hair is falling out, and my daughters think I'm old. :(