if your data team is collecting vast amounts of data and not making anything interesting out of it that's kind of on your data team though
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It seems like a very good idea as someone who does not work in data :D
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I wouldn't say "modern business methods" == "collect more data" == "Profit!" I think they've done a reasonable analysis, and they're using technology where it helps them (interacting with customers) and ditching it where it doesn't help the bottom line (EPOS).
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If they had a _really big_ problem with insider theft, for instance, more instrumentation might help them localize it without burdening employees who weren't at fault. But that's a specific problem, and there are better ways to just not have that problem.
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It's hyperbolic, but there's an important truth underneath the bravado: data can't save you if you don't know what you're doing. It's a classic pattern to stand up a data team at HQ that will build ML models and hold forth on Kubernetes, but have no idea about the business.
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They'll inevitably be a waste of money if they're just ignored, but can be directly destructive if their work is imposed on the operational side. But throwing out the cash registers and have your staff pull and email you nums that the same registers would generate automatically?
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