"Improving quality of data" is word salad Scott. You are being an asshole.
If you can't tell, it's all bad data. Or at least useless.
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Well that doesnt answer the question "how can you tell it's bad data?". How about this one to clarify things "can bad data be useful?"
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Talking in the abstract is useless. Obviously there are some cases in which you can have high confidence the new data is correct and obviously times you cannot.
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