Not All Data Types Are Equally Useful

Here's how to separate 'smart data' from 'not-so-smart data'

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Big Data is big, in part, because no one throws anything away. It’s also worth noting that “big” doesn’t always spell “better” (it may spell “clunky” though).

That’s why the concept of Data Lake, a system for storing raw information, came about some time ago, just to keep “useful” data handy.

However, determining usefulness of information is a subjective matter. Data that are critical for supply chain or inventory management could be useless for target marketing. The size and color of shoes are important for the former, but for targeting, they may not be so critical.



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